All tools

Shrink a PDF by re-rendering every page as a JPEG image (best for scans and photo-heavy files). Presets like the website: email (96 DPI, quality 55), balanced (144 DPI, 72), high (220 DPI, 85); or set dpi/quality yourself; optional grayscale. The result loses selectable text, links and form fields. Reports before/after size and a verdict ("bigger" means keep the original: the PDF was already efficient). Web version: https://s3eidat.github.io/pdf-compress/

Example: small enough to attach to an email

{
  "file": "scan.pdf",
  "preset": "email"
}

Make one new PDF from selected pages of a PDF, e.g. "1-3, 7, 10-" (order as written, each page once). The rest of the file is left out. To reorder, duplicate or delete pages use pdf_organize. Web version: https://s3eidat.github.io/pdf-split/

Example: writes report-pages-1-3_7.pdf

{
  "file": "report.pdf",
  "pages": "1-3, 7"
}

List the fillable fields of a PDF form in reading order: name, readable label, type (text, checkbox, radio, dropdown, list, signature, button), page, current value, options, and whether it is required / read-only / multi-line. Use the names with pdf_form_fill. Web version: https://s3eidat.github.io/pdf-fill/

Example

{
  "file": "application.pdf"
}

Fill PDF form fields by name (get names from pdf_form_fields): text as strings, checkboxes as true/false, radio groups and dropdowns by option text, lists as arrays. Optionally flatten (bake the answers into the page, no longer editable). Only changed fields are redrawn. Text the standard font cannot draw (Arabic…) is kept and viewers are asked to draw it, but cannot be flattened. Web version: https://s3eidat.github.io/pdf-fill/

Example

{
  "file": "application.pdf",
  "values": {
    "name": "Sara Haddad",
    "agree": true,
    "plan": "pro",
    "country": "Egypt"
  },
  "flatten": true
}

Make a PDF from images (JPEG, PNG, WebP, GIF, TIFF, AVIF, SVG…), one image per page, in the order given. Page size A4, Letter, or "fit" (page = image size at 96 dpi); orientation auto/portrait/landscape; margin in mm; quality "original" (JPEG/PNG kept as-is), high (≤3000 px, JPEG 90), medium (≤2000 px, 75) or small (≤1400 px, 60). Photos are turned upright from their EXIF orientation. Web version: https://s3eidat.github.io/images-to-pdf/

Example

{
  "images": [
    "receipt1.jpg",
    "receipt2.jpg"
  ],
  "output": "receipts.pdf"
}

Example

{
  "images": [
    "scan.png",
    {
      "file": "photo.jpg",
      "rotate": 90
    }
  ],
  "pageSize": "fit",
  "margin": 0,
  "quality": "original"
}

Quick facts about a PDF for planning the next step: page count, page sizes (points, mm, paper name such as "A4 portrait", grouped by size), rotated pages, encryption, PDF version, form field count, title/author, and which pages have no text layer (scans that would need OCR). Related web tool: https://s3eidat.github.io/pdf-metadata/

Example: { pages: 12, sizes: [{ paper: "A4 portrait", pages: "1-12" }], pagesWithoutText: [1, …] }

{
  "file": "scan.pdf"
}

Combine several PDFs into one, in the order given. Each entry can be a file (path or base64) or {file, pages} to take only some pages ("1-3, 5, 8-"; "3-1" keeps reverse order; a page can repeat). Password-protected PDFs must be unlocked first. Web version: https://s3eidat.github.io/pdf-merge/

Example: report + pages 2-4 of the appendix

{
  "files": [
    "report.pdf",
    {
      "file": "appendix.pdf",
      "pages": "2-4"
    }
  ],
  "output": "merged.pdf"
}

Show what a PDF reveals about itself: Title, Author, Subject, Keywords, Creator, Producer, creation/modification dates (with time zone), custom info fields, XMP metadata (size, edit history, creator) and the document ID. Optionally returns the XMP XML. Web version: https://s3eidat.github.io/pdf-metadata/

Example

{
  "file": "contract.pdf"
}

Change PDF info fields (title, author, subject, keywords, creator, producer, dates, custom fields) or strip all metadata: info fields, XMP, page-level data and the document ID, and drop unreachable leftovers from earlier edits so no trace stays in the bytes. Untouched values keep their exact original form. Web version: https://s3eidat.github.io/pdf-metadata/

Example

{
  "file": "report.pdf",
  "title": "Final report",
  "author": "Sara Haddad"
}

Example: writes cv-clean.pdf with no metadata

{
  "file": "cv.pdf",
  "strip": true
}

Rebuild a PDF from a page list: reorder, delete (leave pages out), duplicate (list a page twice) and insert blank pages. "3, 1-2, blank, 5-" puts page 3 first, then 1-2, a blank page (same size as the page before it), then 5 to the end; page 4 is dropped. Optionally rotate pages of the result. Existing page rotation is kept. Web version: https://s3eidat.github.io/pdf-organizer/

Example: swap the first two pages, turn page 3

{
  "file": "scan.pdf",
  "pages": "2, 1, 3-",
  "rotate": [
    {
      "pages": "3",
      "angle": 90
    }
  ]
}

Add page numbers to a PDF, plus an optional header and footer line. Format tokens: {n}, {total}, {date}, {filename} (e.g. "Page {n} of {total}", "{n} / {total}", "- {n} -"). Choose the corner/edge, start number, how many leading pages to skip (e.g. a cover), a page range, font, size, colour and margin. Numbers stay upright on rotated pages. Web version: https://s3eidat.github.io/pdf-page-numbers/

Example: no number on the cover

{
  "file": "report.pdf",
  "format": "Page {n} of {total}",
  "position": "br",
  "skip": 1
}

Example

{
  "file": "thesis.pdf",
  "format": "{n}",
  "footer": "Draft, {date}",
  "footerAlign": "l"
}

Rotate selected pages of a PDF by 90, 180 or 270 degrees clockwise (-90 = counter-clockwise), on top of any rotation they already have. Other pages, links and form fields are left as they are. Web version: https://s3eidat.github.io/pdf-organizer/

Example

{
  "file": "scan.pdf",
  "angle": 90,
  "pages": "even"
}

Place a signature (or initials, stamp, logo) image on PDF pages at x/y/width in points, measured from the top-left of the page as it is shown (rotated pages are handled). A light paper background is removed by default so scanned signatures sit cleanly on the page. Optional text marks (name, date…) can be added too. This is a visual signature, not a cryptographic digital signature. To draw a signature by hand, use the web version: https://s3eidat.github.io/pdf-sign/

Example

{
  "file": "contract.pdf",
  "signature": "signature.png",
  "pages": "last",
  "x": 360,
  "y": 700,
  "width": 160
}

Example

{
  "file": "form.pdf",
  "signature": "sig.jpg",
  "pages": "2",
  "x": 80,
  "y": 620,
  "texts": [
    {
      "text": "29/10/2026",
      "page": 2,
      "x": 300,
      "y": 640
    }
  ]
}

Split one PDF into several PDFs written to a folder: by page ranges (one file per range, e.g. "1-3, 4-6, 7-"), every N pages, or one file per page. Files are named like the website: <name>-pages-1-3.pdf, <name>-part-01.pdf, <name>-page-001.pdf. Use pdf_extract_pages to get a single PDF with chosen pages. Web version: https://s3eidat.github.io/pdf-split/

Example: three PDFs

{
  "file": "book.pdf",
  "mode": "ranges",
  "ranges": "1-10, 11-20, 21-"
}

Example

{
  "file": "scans.pdf",
  "mode": "every",
  "every": 2
}

Render PDF pages to PNG, JPEG or WebP images in a folder (one file per page, named <name>-p001.png…). Choose the DPI (72 = screen size, 150 = default, 300 = print), JPEG/WebP quality, a page range, and a transparent background for PNG/WebP. Very large pages are capped at 16384 px a side / 16.7 megapixels, like the website. Web version: https://s3eidat.github.io/pdf-to-images/

Example

{
  "file": "slides.pdf",
  "format": "jpeg",
  "dpi": 96,
  "pages": "1-5"
}

Example

{
  "file": "logo.pdf",
  "format": "png",
  "dpi": 300,
  "transparent": true
}

Extract the text of a PDF with lines and paragraphs rebuilt (right-to-left Arabic/Hebrew lines in reading order), as plain text or Markdown, with optional page separators and reflow (join lines, mend hyphenated words). Returns per-page word counts and flags pages with no text layer (scans: this tool does no OCR). Supports page ranges and passwords. Give "output" to write a .txt/.md file instead of returning the text inline. Web version: https://s3eidat.github.io/pdf-to-text/

Example

{
  "file": "article.pdf",
  "reflow": true
}

Example

{
  "file": "book.pdf",
  "pages": "1-20",
  "format": "markdown",
  "output": "book.md"
}

Stamp a text or image watermark on PDF pages: centred or tiled across the page, with opacity, angle, size, colour and a page range. It reads upright on rotated pages. Text the standard PDF fonts cannot draw (Arabic, CJK…) is stamped as an image. Defaults match the website: "CONFIDENTIAL", Helvetica Bold 72 pt, #d64545, 25% opacity, 45°. Web version: https://s3eidat.github.io/pdf-watermark/

Example

{
  "file": "roadmap.pdf",
  "text": "DRAFT",
  "opacity": 20
}

Example

{
  "file": "brochure.pdf",
  "image": "logo.png",
  "mode": "tile",
  "scale": 15,
  "angle": 0,
  "opacity": 10
}

Turn an image into ASCII art: each character cell takes the average brightness of its area (cells are twice as tall as wide) and maps it onto a character ramp: standard " .:-=+*#%@", detailed (70 characters), blocks " ░▒▓█", simple, binary, or your own. Contrast, brightness and invert (for light text on dark backgrounds). Returns the text; format "png" also renders it to an image (optionally in the image's colours). Transparent areas count as white paper. Web version: https://s3eidat.github.io/ascii-art/

Example

{
  "image": "/photos/cat.jpg",
  "columns": 80,
  "contrast": 20
}

Example

{
  "image": "/photos/logo.png",
  "ramp": "blocks",
  "format": "png",
  "color": true
}

Big banner letters from text, using the website's own bitmap fonts: block (█ 5×7), char (any fill character, e.g. #), shadow (█ with ░ shade), compact (half-block 5×7), small (█ 3×5), tiny (half-block 3×5). Letters A-Z, digits and common punctuation (unknown characters show as "?"); one banner per input line. Returns the text; format "png" also renders it to banner.png. Web version: https://s3eidat.github.io/ascii-art/

Example: A 7-line banner: "## ## ######" …

{
  "text": "HI",
  "style": "char",
  "fill": "#"
}

Result

{
  "lines": 7
}

Make an image file smaller: re-encode at a quality (default 80) and optionally cap the longest side (maxSide), as JPEG, WebP, AVIF or PNG ("keep" = same format; GIF/BMP/TIFF become PNG). Or give targetBytes to find the highest quality that fits that size. With keepSmaller (default on) the original is kept when re-encoding would not make it smaller. Reports before/after sizes and % saved. Transparent areas become white in JPEG. Metadata (EXIF, GPS) is not copied. PNG is lossless (quality ignored). Web version: https://s3eidat.github.io/image-squeeze/

Example

{
  "image": "/photos/IMG_0042.jpg",
  "quality": 75,
  "maxSide": 1920
}

Example: Highest WebP quality that fits 150 KB.

{
  "image": "/site/hero.png",
  "format": "webp",
  "targetBytes": 150000
}

Convert an image to PNG, JPEG, WebP, AVIF, GIF or TIFF. Reads JPEG, PNG, WebP, AVIF/HEIF, GIF (first frame), TIFF, SVG, BMP and ICO. Transparent areas are filled with `background` when writing JPEG (or always with `flatten`). EXIF rotation is applied. SVGs are rasterised at their own size (width/height or viewBox; 1024×1024 if neither), scripts never run. Images larger than 16384 px a side or 100 MP are scaled down to fit. Web version: https://s3eidat.github.io/image-convert/

Example: Writes logo.jpg with transparency on white.

{
  "image": "/photos/logo.png",
  "format": "jpeg",
  "quality": 90,
  "background": "#ffffff"
}

Example

{
  "image": "/icons/icon.svg",
  "format": "webp"
}

Crop an image to a pixel box (x, y, width, height) or to an aspect ratio (1:1, 4:5, 3:2, 16:9, 9:16, "W:H" or a number), taking the largest centred region (or aligned to an edge with `position`). Boxes are kept inside the image. Output JPEG/PNG/WebP/AVIF, name <name>-<W>x<H>.<ext>. Web version: https://s3eidat.github.io/image-resize/

Example: Largest centred square.

{
  "image": "/photos/group.jpg",
  "ratio": "1:1"
}

Example

{
  "image": "/photos/group.jpg",
  "x": 100,
  "y": 50,
  "width": 800,
  "height": 600
}

Show the hidden metadata in a photo: camera make/model, lens, date taken, exposure, ISO, software, author/copyright, serial numbers, comments, PNG text chunks, and GPS coordinates (where the photo was taken). Lists every metadata block (EXIF, XMP, ICC, IPTC, embedded previews) with its size and flags privacy-sensitive fields. JPEG and PNG fully; WebP/AVIF/HEIC/TIFF EXIF via sharp. Web version: https://s3eidat.github.io/exif-cleaner/

Example: Camera Google Pixel 9, Date taken 2026:10:21 18:42:05, GPS 31.953900, 35.910600.

{
  "image": "/photos/IMG_20261021_184205.jpg"
}

Remove EXIF, GPS location, XMP, IPTC, comments, PNG text chunks and embedded previews from a photo before sharing it. JPEG and PNG are cleaned losslessly (image data copied byte for byte, like the website); by default the rotation is kept as a tiny orientation-only EXIF and the ICC colour profile is kept. applyOrientation re-encodes JPEGs with the rotation baked into the pixels. WebP/AVIF/HEIC/TIFF are re-encoded without metadata. Output name <name>-clean.<ext>. Web version: https://s3eidat.github.io/exif-cleaner/

Example: Writes IMG_1234-clean.jpg: no GPS, camera or date; same pixels.

{
  "image": "/photos/IMG_1234.jpg"
}

Example

{
  "image": "/photos/IMG_1234.jpg",
  "applyOrientation": true
}

Make a complete favicon set from a letter/emoji/short text or from an image: favicon.ico (16, 32, 48 px), favicon-16x16.png, favicon-32x32.png, apple-touch-icon.png (180, square, solid), android-chrome-192x192.png and -512x512.png, site.webmanifest and head-snippet.html with the <link> tags. Rounded square with background colour (or transparent), corner radius and padding in %. Writes everything into one folder. Web version: https://s3eidat.github.io/favicon-forge/

Example

{
  "text": "S3",
  "background": "#0e7c86",
  "radius": 24,
  "padding": 16,
  "name": "S3eidat Tools",
  "shortName": "S3eidat"
}

Result

{
  "folder": "C:\\Users\\User\\AppData\\Local\\Temp\\s3eidat-docs-HmqiFx\\favicons\\",
  "files": [
    {
      "name": "favicon.ico",
      "path": "C:\\Users\\User\\AppData\\Local\\Temp\\s3eidat-docs-HmqiFx\\favicons\\favicon.ico",
      "bytes": 4462
    },
    {
      "name": "favicon-16x16.png",
      "path": "C:\\Users\\User\\AppData\\Local\\Temp\\s3eidat-docs-HmqiFx\\favicons\\favicon-16x16.png",
      "bytes": 688
    },
    {
      "name": "favicon-32x32.png",
      "path": "C:\\Users\\User\\AppData\\Local\\Temp\\s3eidat-docs-HmqiFx\\favicons\\favicon-32x32.png",
      "bytes": 1394
    },
    {
      "name": "apple-touch-icon.png",
      "path": "C:\\Users\\User\\AppData\\Local\\Temp\\s3eidat-docs-HmqiFx\\favicons\\apple-touch-icon.png",
      "bytes": 6647
    },
    {
      "name": "android-chrome-192x192.png",
      "path": "C:\\Users\\User\\AppData\\Local\\Temp\\s3eidat-docs-HmqiFx\\favicons\\android-chrome-192x192.png",
      "bytes": 9738
    },
    {
      "name": "android-chrome-512x512.png",
      "path": "C:\\Users\\User\\AppData\\Local\\Temp\\s3eidat-docs-HmqiFx\\favicons\\android-chrome-512x512.png",
      "bytes": 20070
    },
    {
      "name": "site.webmanifest",
      "path": "C:\\Users\\User\\AppData\\Local\\Temp\\s3eidat-docs-HmqiFx\\favicons\\site.webmanifest",
      "bytes": 380
    },
    {
      "name": "head-snippet.html",
      "path": "C:\\Users\\User\\AppData\\Local\\Temp\\s3eidat-docs-HmqiFx\\favicons\\head-snippet.html",
      "bytes": 368
    }
  ],
  "snippet": "<link rel=\"icon\" href=\"/favicon.ico\" sizes=\"48x48\">\n<link rel=\"icon\" type=\"image/png\" sizes=\"32x32\" href=\"/favicon-32x32.png\">\n<link rel=\"icon\" type=\"image/png\" sizes=\"16x16\" href=\"/favicon-16x16.png\">\n<link rel=\"apple-touch-icon\" sizes=\"180x180\" href=\"/apple-touch-icon.png\">\n<link rel=\"manifest\" href=\"/site.webmanifest\">\n<meta name=\"theme-color\" content=\"#0e7c86\">"
}

Example

{
  "image": "/brand/logo.png",
  "transparent": true,
  "radius": 0,
  "output": "/site/public/"
}

Decode Base64 back into a file: accepts a data URI, a CSS url("data:…") rule, an <img src="data:…"> tag, URL-encoded SVG data URIs, or raw Base64 (standard or URL-safe, line breaks allowed). Detects the real type from the bytes, warns when it differs from the declared one, and writes decoded.<ext>. Give the text inline or as a path to a text file. Web version: https://s3eidat.github.io/image-to-base64/

Example: Writes decoded.png (1×1).

{
  "text": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg=="
}

Result

{
  "path": "C:\\Users\\User\\AppData\\Local\\Temp\\s3eidat-docs-BKoKKG\\decoded.png",
  "bytes": 70,
  "mimeType": "image/png",
  "declaredMimeType": "image/png",
  "detectedMimeType": "image/png",
  "isImage": true,
  "width": 1,
  "height": 1,
  "status": "Valid image"
}

Extract the main colours of an image with their share of the picture: k-means (default, deterministic) or median cut, 1-16 colours, sorted by share. Transparent pixels are ignored. Returns hex + rgb + % per colour, CSS custom properties (:root { --color-1 … }) or JSON, and optionally writes the website's swatch strip as palette.png. Same algorithm and sampling as the website, so the colours match. Web version: https://s3eidat.github.io/palette-from-image/

Example: colors: [{ hex: "#1f2f6e", percent: "31.2%" }, …]

{
  "image": "/photos/sunset.jpg",
  "count": 5
}

Make a placeholder image of any size (up to 8000 px a side): solid background with centred text (default "W × H", "\n" for line breaks), auto-fitted font size or a fixed one, PNG / JPEG / WebP / SVG. Size presets for web, social media, IAB ads and devices. Optionally returns a data URI / <img> tag for inlining. Text uses Inter when installed, else a system sans-serif. Web version: https://s3eidat.github.io/placeholder-image/

Example: placeholder-1200x630.png with "1200 × 630".

{
  "width": 1200,
  "height": 630
}

Result

{
  "path": "C:\\Users\\User\\AppData\\Local\\Temp\\s3eidat-docs-yPrhd0\\placeholder-1200x630.png",
  "bytes": 29305,
  "mimeType": "image/png",
  "width": 1200,
  "height": 630,
  "format": "png",
  "aspectRatio": "40:21",
  "megapixels": "0.76",
  "fontSize": 133
}

Example

{
  "preset": "leaderboard",
  "background": "#0e9f9a",
  "color": "#e6fffd",
  "text": "Ad space",
  "format": "svg"
}

Result

{
  "path": "C:\\Users\\User\\AppData\\Local\\Temp\\s3eidat-docs-FqID82\\placeholder-728x90.svg",
  "bytes": 421,
  "mimeType": "image/svg+xml",
  "width": 728,
  "height": 90,
  "format": "svg",
  "aspectRatio": "364:45",
  "megapixels": "0.07",
  "fontSize": 31
}

Resize an image by pixels or percent, keeping the aspect ratio. Give width or height (the other side follows), or both: fit "cover" (default, as on the website) centre-crops to that ratio first so nothing is stretched, "contain" fits inside the box, "fill" stretches. Optional crop ratio (1:1, 4:5, 3:2, 16:9, 9:16, orig) or crop box before resizing, social-media presets, output JPEG/PNG/WebP/AVIF. Up to 16384 px a side. Output name: <name>-<W>x<H>.<ext>. Web version: https://s3eidat.github.io/image-resize/

Example: Keeps the aspect ratio: 1600×900 → 1080×608.

{
  "image": "/photos/beach.jpg",
  "width": 1080
}

Example: Centre-crops to 1:1 and writes beach-1080x1080.jpg.

{
  "image": "/photos/beach.jpg",
  "preset": "instagram-post"
}

Example

{
  "image": "/photos/beach.jpg",
  "percent": 50,
  "format": "webp"
}

Rotate an image clockwise by 90, 180, 270 or any angle (the canvas grows to fit; new corners get `background`), and/or flip it horizontally (mirror) or vertically. Flips apply after the rotation, as seen on screen. EXIF orientation is applied first (autoOrient, default on), so with angle 0 this simply "fixes" sideways phone photos. Output JPEG/PNG/WebP/AVIF ("keep" = same as input), name <name>-rotated.<ext>. Web version: https://s3eidat.github.io/photo-filters/

Example

{
  "image": "/photos/scan.jpg",
  "angle": 90
}

Example: Un-mirror a selfie.

{
  "image": "/photos/selfie.jpg",
  "angle": 0,
  "flipHorizontal": true
}

Example: Bake the EXIF rotation into the pixels.

{
  "image": "/photos/IMG_1234.jpg",
  "angle": 0
}

Rasterise an SVG to a crisp PNG: scale (1×, 2×, 3×, 4×… default 2×), a target width or height (aspect kept), or an exact size (stretched). Units (px, pt, mm, cm, in) and viewBox-only SVGs are understood; transparent background or a solid colour. Scripts, event handlers and external references are removed first. Name <name>@2x.png. Web version: https://s3eidat.github.io/svg-to-png/

Example: Writes logo@3x.png.

{
  "svg": "/icons/logo.svg",
  "scale": 3
}

Example: 200×100 PNG.

{
  "svgText": "<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 50\"/>",
  "mode": "width",
  "width": 200
}

Result

{
  "path": "C:\\Users\\User\\AppData\\Local\\Temp\\s3eidat-docs-sMIPxv\\image.png",
  "bytes": 179,
  "mimeType": "image/png",
  "width": 200,
  "height": 100,
  "svgWidth": 100,
  "svgHeight": 50
}

Encode an image (or any file) as Base64: a data URI, bare Base64, a CSS background-image rule, an HTML <img> tag (with width/height), Markdown, or for SVG a URL-encoded data URI (usually ~30% smaller). Detects the type from the bytes and warns when the result is too big to inline (over 10 KB: slows pages; over 1 MB: use a normal file). Results longer than maxChars are written to a .txt file instead of being returned. Web version: https://s3eidat.github.io/image-to-base64/

Example: background-image: url("data:image/png;base64,…");

{
  "image": "/site/icons/logo.png",
  "as": "css"
}

Example

{
  "image": "/site/icons/arrow.svg",
  "as": "svgUri"
}

Add a text or logo watermark to a photo. Size is a % of the photo width, margin a % of the shorter side, so the result looks the same on any resolution. One of 9 positions or tiled across the whole image (brick pattern), with opacity, rotation, colour, weight and a soft shadow for text. Logo: any image (PNG with transparency works best). Output keeps the input format (JPEG/PNG/WebP) or as chosen; name <name>-watermarked.<ext>. Text uses the Inter font when installed, else a system sans-serif. Web version: https://s3eidat.github.io/watermark/

Example

{
  "image": "/photos/shoot-01.jpg",
  "text": "© Studio Lina",
  "position": "bottom-right",
  "opacity": 60
}

Example

{
  "image": "/photos/proof.jpg",
  "text": "PROOF",
  "tiled": true,
  "rotation": -25,
  "opacity": 35,
  "size": 26,
  "margin": 3
}

Example

{
  "image": "/photos/product.png",
  "logo": "/brand/logo.png",
  "position": "top-left",
  "size": 20
}

Arabic text utilities. mode "clean": remove tashkeel (harakat and Quranic marks, optionally keeping shadda), remove tatweel (kashida), normalise letters (alef with hamza/madda/wasla → bare alef; alef maqsura and Farsi ya → ya; ta marbuta → ha; hamza on waw/ya → waw/ya), switch Latin , ; ? to Arabic punctuation, and convert digits (Arabic-Indic ↔ Western). mode "arabizi": turn Arabizi / Franco-Arabic chat text (mar7aba, 3arabi, 5ala9, el bait) into Arabic script. Returns the result with letter/word/character counts. Give "text" or a text file "path". Web version: https://s3eidat.github.io/arabic-tools/

Example

{
  "mode": "arabizi",
  "text": "mar7aba, kifak?"
}

Result

{
  "text": "مرحبا، كيفك؟",
  "arabicLetters": 9,
  "words": 2,
  "characters": 12
}

Example

{
  "text": "2026",
  "digits": "arabic"
}

Result

{
  "text": "٢٠٢٦",
  "arabicLetters": 0,
  "words": 1,
  "characters": 4,
  "marksRemoved": 0
}

Convert text case: upper, lower, title (smart: keeps small words lower and iPhone/NASA as typed), sentence, camel, pascal, snake, kebab, constant, alternate, inverse. Works line by line and handles Unicode (Arabic, accents, ß). Web version: https://s3eidat.github.io/case-convert/

Example

{
  "text": "a tale OF two cities",
  "mode": "title"
}

Result

{
  "result": "A Tale of Two Cities"
}

Example

{
  "text": "XMLParser handler",
  "mode": "snake"
}

Result

{
  "result": "xml_parser_handler"
}

Format references from structured fields in APA 7, MLA 9, Chicago author-date (17th), Harvard (Cite Them Right) or IEEE, for books, book chapters, journal articles, web pages, newspaper/magazine articles, videos and reports. Handles author-count rules (et al.), initials, organisations as authors, editions, page ranges (MLA 127-53), DOIs, URLs and access dates, and title case for MLA/Chicago/IEEE. Returns each citation as plain text and HTML (italics as <i>), the in-text citation, missing-field hints, and the whole list as a bibliography sorted for the style (numbered for IEEE). Web version: https://s3eidat.github.io/citation-gen/

Example: Abelson, H., & Sussman, G. J. (1996). Structure and interpretation of computer programs (2nd ed.). MIT Press.

{
  "style": "apa",
  "sources": [
    {
      "type": "book",
      "authors": [
        {
          "first": "Harold",
          "last": "Abelson"
        },
        {
          "first": "Gerald Jay",
          "last": "Sussman"
        }
      ],
      "title": "Structure and interpretation of computer programs",
      "edition": "2",
      "year": "1996",
      "publisher": "MIT Press",
      "place": "Cambridge, MA, USA"
    }
  ]
}

Result

{
  "style": "APA 7",
  "citations": [
    {
      "text": "Abelson, H., & Sussman, G. J. (1996). Structure and interpretation of computer programs (2nd ed.). MIT Press.",
      "html": "Abelson, H., &amp; Sussman, G. J. (1996). <i>Structure and interpretation of computer programs</i> (2nd ed.). MIT Press.",
      "inText": "(Abelson & Sussman, 1996)",
      "missing": []
    }
  ],
  "bibliographyTitle": "References",
  "bibliography": "Abelson, H., & Sussman, G. J. (1996). Structure and interpretation of computer programs (2nd ed.). MIT Press."
}

Clean up text line by line with a fixed pipeline (same order as the website): strip HTML tags and decode entities → remove emojis → trim each line → collapse repeated spaces → remove empty lines → remove duplicate lines (optionally ignoring case) → sort (A–Z, Z–A, natural, by length) → reverse → shuffle (seedable) → add line numbers. Returns the cleaned text plus counts, or writes it to a file when "output" is given. Give "text" or a text file "path". Web version: https://s3eidat.github.io/text-cleaner/

Example

{
  "text": "item 10\nitem 2\nitem 2\n\nitem 1",
  "removeDuplicates": true,
  "sort": "natural"
}

Result

{
  "text": "item 1\nitem 2\nitem 10",
  "linesIn": 5,
  "linesOut": 3,
  "duplicatesRemoved": 1,
  "emptyLinesRemoved": 1,
  "charactersOut": 21
}

Compare two texts line by line (Myers diff) and return a unified diff (3 lines of context, like `diff -u`), counts of added/removed/unchanged lines, and change blocks where each removed line is paired with the added line that replaced it and the changed words are marked [-old-] / {+new+}. Can ignore whitespace and case. Works with any language (Arabic included). Up to 50,000 lines per side. Web version: https://s3eidat.github.io/diff-view/

Example

{
  "original": "one\ntwo\nthree",
  "changed": "zero\none\nthree"
}

Result

{
  "identical": false,
  "added": 1,
  "removed": 1,
  "unchanged": 2,
  "unified": "--- original\n+++ changed\n@@ -1,3 +1,3 @@\n+zero\n one\n-two\n three\n",
  "changes": [
    {
      "removed": [],
      "added": [
        {
          "line": 1,
          "text": "zero"
        }
      ]
    },
    {
      "removed": [
        {
          "line": 2,
          "text": "two"
        }
      ],
      "added": []
    }
  ]
}

Example: changes[0]: removed marked "the [-quick-] fox", added marked "the {+slow+} fox"

{
  "original": "the quick fox",
  "changed": "the slow fox"
}

Result

{
  "identical": false,
  "added": 1,
  "removed": 1,
  "unchanged": 0,
  "unified": "--- original\n+++ changed\n@@ -1 +1 @@\n-the quick fox\n+the slow fox\n",
  "changes": [
    {
      "removed": [
        {
          "line": 1,
          "text": "the quick fox",
          "marked": "the [-quick-] fox"
        }
      ],
      "added": [
        {
          "line": 1,
          "text": "the slow fox",
          "marked": "the {+slow+} fox"
        }
      ]
    }
  ]
}

Escape or unescape a string for a target: JSON (string body), JavaScript (incl. template literals), HTML, XML, URL (encodeURIComponent, optional form +), SQL (doubled quotes, optional MySQL backslashes and wrapping quotes), CSV field (RFC 4180; comma, semicolon or tab), regex, POSIX shell single quotes, C/C++, Java/C#, and Unicode escapes (\uXXXX, \u{X}, \UXXXXXXXX, &#xX;, U+XXXX). Options per target as on the website. Set "allTargets" to get the escaped form for every target at once. Web version: https://s3eidat.github.io/text-escape/

Example

{
  "text": "O'Brien",
  "target": "sql",
  "wrap": true
}

Result

{
  "result": "'O''Brien'",
  "note": "Standard SQL doubles single quotes. Prefer parameterised queries over escaping.",
  "inputCharacters": 7,
  "outputCharacters": 10
}

Example

{
  "text": "a%20b%26c",
  "target": "url",
  "direction": "unescape"
}

Result

{
  "result": "a b&c",
  "note": "encodeURIComponent: for one query value or path segment.",
  "inputCharacters": 9,
  "outputCharacters": 5
}

Restyle text with Unicode look-alike characters for bios and posts (28 styles): Bold, Italic, Bold italic, Script, Bold script, Fraktur, Bold fraktur, Double-struck, Sans-serif, Sans bold, Sans italic, Sans bold italic, Monospace, Circled, Circled dark, Squared, Squared dark, Parenthesized, Fullwidth, Small caps, Superscript, Upside down, Strikethrough, Underline, Double underline, Slashed, Overline, Wide spaced. Only Latin letters and digits change (other scripts such as Arabic and emoji pass through); some styles cover only capitals or only some symbols. Give one "style", or none to get every style. Up to 20,000 characters. Web version: https://s3eidat.github.io/fancy-text/

Example

{
  "text": "Hello 2026",
  "style": "Bold"
}

Result

{
  "results": [
    {
      "style": "Bold",
      "text": "𝐇𝐞𝐥𝐥𝐨 𝟐𝟎𝟐𝟔"
    }
  ]
}

Example: Returns all 28 styles.

{
  "text": "Stay curious"
}

Result

{
  "results": [
    {
      "style": "Bold",
      "text": "𝐒𝐭𝐚𝐲 𝐜𝐮𝐫𝐢𝐨𝐮𝐬"
    },
    {
      "style": "Italic",
      "text": "𝑆𝑡𝑎𝑦 𝑐𝑢𝑟𝑖𝑜𝑢𝑠"
    },
    {
      "style": "Bold italic",
      "text": "𝑺𝒕𝒂𝒚 𝒄𝒖𝒓𝒊𝒐𝒖𝒔"
    },
    {
      "style": "Script",
      "text": "𝒮𝓉𝒶𝓎 𝒸𝓊𝓇𝒾ℴ𝓊𝓈"
    },
    {
      "style": "Bold script",
      "text": "𝓢𝓽𝓪𝔂 𝓬𝓾𝓻𝓲𝓸𝓾𝓼"
    },
    {
      "style": "Fraktur",
      "text": "𝔖𝔱𝔞𝔶 𝔠𝔲𝔯𝔦𝔬𝔲𝔰"
    },
    {
      "style": "Bold fraktur",
      "text": "𝕾𝖙𝖆𝖞 𝖈𝖚𝖗𝖎𝖔𝖚𝖘"
    },
    {
      "style": "Double-struck",
      "text": "𝕊𝕥𝕒𝕪 𝕔𝕦𝕣𝕚𝕠𝕦𝕤"
    },
    {
      "style": "Sans-serif",
      "text": "𝖲𝗍𝖺𝗒 𝖼𝗎𝗋𝗂𝗈𝗎𝗌"
    },
    {
      "style": "Sans bold",
      "text": "𝗦𝘁𝗮𝘆 𝗰𝘂𝗿𝗶𝗼𝘂𝘀"
    },
    {
      "style": "Sans italic",
      "text": "𝘚𝘵𝘢𝘺 𝘤𝘶𝘳𝘪𝘰𝘶𝘴"
    },
    {
      "style": "Sans bold italic",
      "text": "𝙎𝙩𝙖𝙮 𝙘𝙪𝙧𝙞𝙤𝙪𝙨"
    },
    {
      "style": "Monospace",
      "text": "𝚂𝚝𝚊𝚢 𝚌𝚞𝚛𝚒𝚘𝚞𝚜"
    },
    {
      "style": "Circled",
      "text": "Ⓢⓣⓐⓨ ⓒⓤⓡⓘⓞⓤⓢ"
    },
    {
      "style": "Circled dark",
      "text": "🅢🅣🅐🅨 🅒🅤🅡🅘🅞🅤🅢"
    },
    {
      "style": "Squared",
      "text": "🅂🅃🄰🅈 🄲🅄🅁🄸🄾🅄🅂"
    },
    {
      "style": "Squared dark",
      "text": "🆂🆃🅰🆈 🅲🆄🆁🅸🅾🆄🆂"
    },
    {
      "style": "Parenthesized",
      "text": "🄢⒯⒜⒴ ⒞⒰⒭⒤⒪⒰⒮"
    },
    {
      "style": "Fullwidth",
      "text": "Ｓｔａｙ　ｃｕｒｉｏｕｓ"
    },
    {
      "style": "Small caps",
      "text": "ꜱᴛᴀʏ ᴄᴜʀɪᴏᴜꜱ"
    },
    {
      "style": "Superscript",
      "text": "Sᵗᵃʸ ᶜᵘʳⁱᵒᵘˢ"
    },
    {
      "style": "Upside down",
      "text": "snoᴉɹnɔ ʎɐʇS"
    },
    {
      "style": "Strikethrough",
      "text": "S̶t̶a̶y̶ ̶c̶u̶r̶i̶o̶u̶s̶"
    },
    {
      "style": "Underline",
      "text": "S̲t̲a̲y̲ ̲c̲u̲r̲i̲o̲u̲s̲"
    },
    {
      "style": "Double underline",
      "text": "S̳t̳a̳y̳ ̳c̳u̳r̳i̳o̳u̳s̳"
    },
    {
      "style": "Slashed",
      "text": "S̸t̸a̸y̸ ̸c̸u̸r̸i̸o̸u̸s̸"
    },
    {
      "style": "Overline",
      "text": "S̅t̅a̅y̅ ̅c̅u̅r̅i̅o̅u̅s̅"
    },
    {
      "style": "Wide spaced",
      "text": "S t a y   c u r i o u s"
    }
  ]
}

Fix text typed with the wrong keyboard layout between US English (QWERTY) and Arabic (101): "hgsghl ugd;l" becomes the Arabic greeting, and Arabic gibberish typed on English keys becomes "hello". Direction "auto" detects it; in mixed text only the words that look mistyped are converted (using small English/Arabic letter-pair models), so words that are already right stay as they are. Handles the shift layer (harakat, hamza forms), lam-alef keys and Caps Lock (all-caps Latin input is treated as lowercase). Web version: https://s3eidat.github.io/layout-fixer/

Example

{
  "text": ";dt phg;?"
}

Result

{
  "text": "كيف حالك؟",
  "direction": "ar",
  "wordsChanged": 2,
  "capsLockIgnored": false
}

Example: Mixed text: only the mistyped Arabic-looking word becomes "hello".

{
  "text": "Hi, ok اثممخ"
}

Result

{
  "text": "Hi, ok hello",
  "direction": "mixed",
  "wordsChanged": 1,
  "capsLockIgnored": false
}

Generate placeholder text: classic Lorem ipsum, readable English filler, or Arabic filler. Choose paragraphs (max 100), sentences (max 500) or words (max 10000); optionally start with the classic opener and wrap paragraphs in <p> tags. Give a seed for repeatable output (the same seed gives the same text). Writes a .txt/.html file instead when "output" is given. Web version: https://s3eidat.github.io/lorem-gen/

Example: 25 words starting "Lorem ipsum dolor sit amet…"

{
  "unit": "words",
  "count": 25,
  "seed": 42
}

Example

{
  "style": "arabic",
  "unit": "paragraphs",
  "count": 2
}

Translate text to International Morse code and back. Encoding: letters separated by spaces, words by " / "; accents are folded (é → E) and characters without a code are skipped and counted. Decoding accepts . and - plus look-alikes (• · – — _), with words split by /, | or 2+ spaces; unknown codes become #. Encoding also returns the playing time at a given speed (PARIS timing: dot = 1200/WPM ms). No audio. Web version: https://s3eidat.github.io/morse-code/

Example

{
  "text": "SOS",
  "mode": "encode"
}

Result

{
  "mode": "encode",
  "result": "... --- ...",
  "skipped": 0,
  "durationSeconds": 1.8
}

Example

{
  "text": ".... ..  /  - .... . .-. ."
}

Result

{
  "mode": "decode",
  "result": "HI THERE",
  "unrecognized": 0
}

Spell a number in words in English and Arabic: English cardinal (with decimals, optional British "and"), ordinal (twenty-first), cheque wording for an amount in a currency (cents in words or as 25/100, optional "only"), Arabic cardinal, and Arabic tafqeet for amounts with correct gender/number agreement of the currency noun (optional "faqat … la ghayr" wrapper and the modern 100 spelling). Currencies: JOD, USD, SAR, AED, KWD, EGP, GBP (or none). Accepts Arabic-Indic digits and thousands separators. Up to 999 trillion (15 digits). Web version: https://s3eidat.github.io/number-words/

Example

{
  "number": "21"
}

Result

{
  "digits": "21",
  "english": "twenty-one",
  "ordinal": "twenty-first",
  "ordinalShort": "21st",
  "arabic": "واحد وعشرون"
}

Example: englishAmount: "One thousand five hundred dollars and twenty-five cents", plus the Arabic tafqeet

{
  "number": "1500.25",
  "currency": "USD"
}

Result

{
  "digits": "1,500.25 USD",
  "english": "one thousand five hundred point two five",
  "arabic": "ألف وخمسمائة فاصلة خمسة وعشرون",
  "englishAmount": "One thousand five hundred dollars and twenty-five cents",
  "arabicAmount": "ألف وخمسمائة دولار وخمسة وعشرون سنتاً"
}

Score how easy an English text is to read: Flesch Reading Ease, Flesch-Kincaid Grade, Gunning Fog, SMOG, Coleman-Liau and Automated Readability Index (same formulas, sentence splitter and syllable estimate as the website), plus a verdict, average grade level, and Hemingway-style hints: long sentences (over 20 / 30 words), passive voice and adverbs. The formulas are built for English; for Arabic text the result says so (arabicWarning). Give "text" or a text file "path". Web version: https://s3eidat.github.io/readability/

Example: Returns all six scores, the verdict and hints.

{
  "text": "Keep it short. Use plain words. Readers scan, so put the main point first and cut what they don't need."
}

Result

{
  "readingEase": 100,
  "verdict": "Very easy",
  "verdictLevel": "ok",
  "advice": "Short sentences and everyday words. Almost anyone can follow it.",
  "averageGrade": 1.7,
  "averageGradeText": "grade 2 · age 7–8",
  "scores": {
    "fleschReadingEase": 111.2,
    "fleschKincaidGrade": {
      "score": -0.6,
      "grade": "kindergarten"
    },
    "gunningFog": {
      "score": 2.7,
      "grade": "grade 3 · age 8–9"
    },
    "smog": {
      "score": 3.1,
      "grade": "grade 3 · age 8–9"
    },
    "colemanLiau": {
      "score": 3,
      "grade": "grade 3 · age 8–9"
    },
    "automatedReadability": {
      "score": 0.5,
      "grade": "grade 1 · age 6–7"
    }
  },
  "words": 20,
  "sentences": 3,
  "syllablesPerWord": 1.05,
  "wordsPerSentence": 6.7,
  "longSentences": [],
  "passive": [],
  "adverbs": [],
  "tips": [
    "No long sentences, passive voice or extra adverbs found."
  ],
  "smogNote": "SMOG is designed for 30+ sentences; with 3 it is a rough estimate."
}

Turn titles into clean URL slugs, one slug per non-empty line (bulk). Folds accents (é → e, ß → ss), transliterates Arabic to Latin (the article al- becomes its own word) or keeps Arabic letters, converts Arabic-Indic digits, drops tashkeel, turns & into "and", can remove stop words (English and Arabic) and cap the length at a word boundary. Web version: https://s3eidat.github.io/slugify/

Example

{
  "text": "Crème Brûlée & Café au Lait: A Love Story"
}

Result

{
  "slugs": [
    {
      "title": "Crème Brûlée & Café au Lait: A Love Story",
      "slug": "creme-brulee-and-cafe-au-lait-a-love-story",
      "length": 42,
      "encodedLength": 42
    }
  ]
}

Example: lord-rings

{
  "text": "The Lord of the Rings",
  "removeStopWords": true
}

Result

{
  "slugs": [
    {
      "title": "The Lord of the Rings",
      "slug": "lord-rings",
      "length": 10,
      "encodedLength": 10
    }
  ]
}

Check a post against platform limits the way the platforms count: X/Twitter weighted length (links = 23, emoji = 2, CJK = 2; limit 280), Threads 500, Bluesky 300, Instagram 2,200 (+ 30 hashtags), LinkedIn 3,000, Facebook 63,206, TikTok 4,000, YouTube title 100 / description 5,000, Pinterest 500, Google title ~60, meta description ~160. Characters are counted as user-perceived graphemes (one emoji = 1). Also: words, hashtags, mentions, links, emoji, and SMS encoding (GSM-7 vs Unicode) with the number of SMS parts and the characters that force Unicode. Give "text" or a text file "path". Web version: https://s3eidat.github.io/social-counter/

Example: xWeightedLength 48: the link counts 23 and the emoji 2.

{
  "text": "Read it here: https://example.com/blog/code-reviews 🚀 #coding",
  "platforms": [
    "x"
  ]
}

Result

{
  "characters": 61,
  "words": 9,
  "hashtags": 1,
  "mentions": 0,
  "links": 1,
  "emoji": 1,
  "lines": 1,
  "utf16Units": 62,
  "xWeightedLength": 48,
  "platforms": [
    {
      "id": "x",
      "name": "X (Twitter) post",
      "count": 48,
      "limit": 280,
      "softLimit": false,
      "remaining": 232,
      "over": 0,
      "status": "ok",
      "notes": [
        "Weighted: links 23, emoji 2, CJK 2. Premium allows 25,000."
      ]
    }
  ],
  "sms": {
    "encoding": "UCS-2",
    "parts": 1,
    "unitsUsed": 62,
    "perPart": 70,
    "leftInPart": 8,
    "nonGsmCharacters": [
      {
        "char": "🚀",
        "count": 1
      }
    ]
  }
}

Count words, characters (with and without spaces), sentences, paragraphs, lines and unique words; estimate reading (238 wpm) and speaking (150 wpm) time; list the most used keywords with density. Works for English and Arabic (tashkeel ignored). Give "text" or a text file "path". Web version: https://s3eidat.github.io/word-count/

Example: 11 words, 4 sentences, 2 paragraphs

{
  "text": "Hello world. This is a test! Is it?\n\nNew paragraph here."
}

Result

{
  "words": 11,
  "characters": 56,
  "charactersNoSpaces": 45,
  "sentences": 4,
  "paragraphs": 2,
  "lines": 3,
  "uniqueWords": 10,
  "averageWordLength": 3.73,
  "longestWord": "paragraph",
  "readingTimeSeconds": 3,
  "speakingTimeSeconds": 4,
  "keywords": [
    {
      "word": "hello",
      "count": 1,
      "density": 9.09
    },
    {
      "word": "new",
      "count": 1,
      "density": 9.09
    },
    {
      "word": "paragraph",
      "count": 1,
      "density": 9.09
    },
    {
      "word": "test",
      "count": 1,
      "density": 9.09
    },
    {
      "word": "world",
      "count": 1,
      "density": 9.09
    }
  ]
}

Beautify CSS (one declaration per line, one selector per line, blank line between top-level rules, nested @media blocks) or minify it. Strings, url(...) and escapes are kept intact; calc() spacing is preserved. Optional comment removal (/*! … */ kept). Give "text" or a file "path". Web version: https://s3eidat.github.io/html-css-format/

Example

{
  "text": "a,b{color:red;margin:0 auto}"
}

Result

{
  "result": "a,\nb {\n  color: red;\n  margin: 0 auto;\n}"
}

Convert CSV/TSV to JSON with an RFC 4180 parser (quoted fields, "" escapes, line breaks inside quotes, CR/LF/CRLF, BOM). Detects the delimiter (comma, semicolon, tab, pipe), uses the first row as headers (blank → column_N, duplicates → name_2), and can type values (numbers, true/false, null; long digit strings like IDs stay strings). Output: array of objects or array of arrays, pretty-printed. Give "text" or a file "path". Web version: https://s3eidat.github.io/csv-json/

Example

{
  "text": "id,zip,ok\n1,007,true"
}

Result

{
  "rows": 1,
  "columns": [
    "id",
    "zip",
    "ok"
  ],
  "delimiter": "comma",
  "ragged": false,
  "result": "[\n  {\n    \"id\": 1,\n    \"zip\": \"007\",\n    \"ok\": true\n  }\n]"
}