ocr
Skill1 starsChanged 33 days agoMITView on GitHub
Reads text from an image or scanned PDF with tesseract OCR, via Tanod Documents. Use when an agent must extract text from an image or make a scanned PDF searchable.
10 other projects use a version of this.
Adopted by
Most recently taken up by
- ruiwarn/skillstheir own version, first seen Nov 8, 2026
- hosaypeng/claude-skillstheir own version, first seen Nov 1, 2026
- panyw5/skillstheir own version, first seen Oct 9, 2026
- jholhewres/devclaw-skillstheir own version, first seen Oct 9, 2026
- xyzBart/claude-skillstheir own version, first seen Oct 8, 2026
- stardustai/stardust-skillstheir own version, first seen Sep 7, 2026
Other versions10 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 10
- OpenCoven/coven★ 75same name
- jholhewres/devclaw-skills★ 4same name
- ruiwarn/skills★ 4same name
- hec-ovi/ocr-skill★ 1same name
- panyw5/skills★ 1same name
- xiaotianxt/skills★ 1same name
- hosaypeng/claude-skills★ 0same name
- Shugar86/my-agent★ 0same name
- stardustai/stardust-skills★ 0same name
- xyzBart/claude-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository12 other files it gives its agents.
- bank-statementSkill
- check-crypto-address-before-sendingSkill
- check-url-for-phishingSkill
- convert-and-ocr-documentsSkill
- detect-ascii-smuggling-and-hidden-unicodeSkill
- document-to-markdownSkill
- monitor-a-router-or-cron-job-from-outsideSkill
- pdf-tablesSkill
- pdf-to-wordSkill
- scan-mcp-server-or-skill-before-installingSkill
- screen-address-for-ofac-sanctionsSkill
- screenshot-a-web-pageSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 7 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 74
Only English (eng) is installed.
“Common” is measured: kept by at least 6 in 10 of the 7 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
OCR (Tanod Documents)
POST /v1/ocr reads text from an image URL; POST /v1/pdf/ocr adds a text layer to a scanned PDF. Price: /v1/ocr USD 0.0025 per call, with 5 free eligible static renders per IP per UTC day (one pool shared with PDF text, page metadata, security headers, robots.txt, sitemaps and page links); /v1/pdf/ocr USD 0.01 for at most 5 pages, USD 0.02 for 6-10 pages, no free allowance.
Use when
- a PNG, JPEG, WebP, GIF or single-page TIFF image must become text
- a scanned PDF must become searchable before conversion
Use instead
- PDF that already has text:
document-to-markdown - tables from a PDF:
pdf-tables(after OCR if scanned) - scanned PDF to Word: OCR first, then
pdf-to-word
Request
JSON body on POST https://tanod.dev/v1/ocr (and /v1/pdf/ocr). Files are sent as a URL or base64 in JSON; these routes do not take multipart/form-data.
/v1/ocr:
url(required): public http(s) URL of the image, at most 10 MB and 40 megapixels.lang: tesseract language code (installed:eng).
/v1/pdf/ocr:
urlorpdf_base64(at most 10 MB decoded);lang(eng);dpi100-300 (default 200, at most 200 above 5 pages).pages: at most 10 pages, partsN,N-M,-M,last, e.g.1-3,7.skip_text(default true): leave pages that already have text alone.output:base64(default) orurl(24-hour link).- Example:
{"url": "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf", "pages": "1", "skip_text": false}
Example body: {"url": "https://tesseract-ocr.github.io/tessdoc/images/eurotext.png", "lang": "eng"}
POST /v1/ocr HTTP/1.1
Host: tanod.dev
content-type: application/json
{"url": "https://tesseract-ocr.github.io/tessdoc/images/eurotext.png", "lang": "eng"}
# free allowance (5 per IP per UTC day), image OCR only
POST /v1/ocr HTTP/1.1
Host: tanod.dev
content-type: application/json
X-Tanod-Free: 1
{"url": "https://tesseract-ocr.github.io/tessdoc/images/eurotext.png", "lang": "eng"}MCP alternative: connect to https://tanod.dev/mcp and call ocr_image (image) or pdf_ocr (PDF). ocr_image has the 5-per-day free allowance, applied automatically over MCP; pdf_ocr has none.
Payment
An unpaid request returns HTTP 402 with an x402 v2 challenge (USDC on Base, Polygon or Solana) and an MPP/Tempo WWW-Authenticate: Payment challenge. Pay it and repeat the request with the payment attached. No account or API key. Input errors (413, 415, 422) and worker failures (429, 502, 503, 504) are not charged.
Response
/v1/ocr: text, words, confidence_mean, width, height, format, lang, truncated, untrusted_content.
/v1/pdf/ocr: file (searchable PDF, base64), text (at most 100,000 characters), text_truncated, ocr_pages, skipped_has_text, lang, dpi, active_content_removed, output_bytes.
Limits
- Images: 10 MB and 40 megapixels; multi-page TIFF is a 422.
- PDFs: at most 10 pages per call (split longer ones), 10 MB as base64 (20 MB via
url), output above 15 MB is a 413 output_too_large. - Only English (
eng) is installed. - Encrypted PDFs are a 422 pdf_encrypted. A call that cannot finish in about 78 s is a 503.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

