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Skills/document-processing/Tesseract.Js

Tesseract.Js

STRONG ยท 88
Community indexed

Pure Javascript OCR for more than 100 Languages ๐Ÿ“–๐ŸŽ‰๐Ÿ–ฅ

Downloads0
Stars38.1K
Version1.0.0
Quality100/100 ยท Excellent
Trust88/100 ยท Review then install
Audit93/100 ยท Safe to try

Supply asset profile

Research and knowledge work

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Browse track

Scenario

Document processing

I need my agent to read PDFs, extract tables, and turn documents into structured data.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add naptha/tesseract.js

Maintenance

active

2mo since push

Risk

Safe to try

Documentation summary is thin

GitHub quality

38K

100/100 quality ยท 91/100 trust

Coverage tags

ResearchDocument processingdocument-processingocrdocuments

Review notes

Documentation summary is thin

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Excellent
100

High-confidence pick with strong adoption and healthy maintenance signals.

Trust

Review then install
88

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

Audit

Safe to try
93

Install readiness, security metadata, maintenance, and adoption risk.

Trust Score v5

Agent install candidate

Use as the primary candidate after human or sandbox review.

JavaScriptOCRCodexClaude CodeCursor

Stars

38K GitHub stars

Repo activity

38K stars, 2.4K forks

Maintenance

2mo since push

License

Apache-2.0

Install

npx skills add naptha/tesseract.js

Install safety

standard package or runtime install path

Permission surface

no high-risk permission surface in public metadata

Agent outcomes

No agent outcome data yet

Docs

Usable metadata, review docs

Risk summary

Low metadata risk

  • Documentation summary is thin

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Document processing workflows
  • Claude Code teams
  • teams that value GitHub adoption signals
  • Read uploaded files

Suited agents

JavaScriptOCRCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add naptha/tesseract.js
Policy
review
Human review
yes

Trust and risk

Trust
88/100
Audit
93/100
Risk level
Safe to try

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add naptha/tesseract.js
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No major risk signals from current metadata
  • Documentation summary is thin
  • Production credentials, payments, or irreversible account changes without explicit human review

Alternative

Markitdown

156.1K stars

npx skills add microsoft/markitdown

Alternative

PaddleOCR

83.1K stars

npx skills add PaddlePaddle/PaddleOCR

Alternative

Stirling PDF

81.2K stars

npx skills add Stirling-Tools/Stirling-PDF

Alternative

Tesseract

74.7K stars

npx skills add tesseract-ocr/tesseract

Agent safety v2

77/100 ยท Review before install

Reviewedreview

Good audit and safety signals with no high-risk permission hints in public metadata.

Review the audit page, then allow agent install in a sandboxed workflow.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • Documentation summary is thin

Install targets

Install this skill in your agent workflow

Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add naptha/tesseract.js

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Resolve JSON

/api/agent/resolve?task=Use%20Tesseract.Js%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20Tesseract.Js%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/naptha-tesseract-js/install

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Tesseract.Js in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Tesseract.Js%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/naptha-tesseract-js/install
Install command: npx skills add naptha/tesseract.js
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Install handoff

/api/skills/naptha-tesseract-js/install

LLM text format

/api/skills/naptha-tesseract-js/install?format=text

Find alternatives

/api/skills/search?q=Tesseract.Js&limit=3

Agent prompt

Use Tesseract.Js for this task. Review https://www.openagentskill.com/api/skills/naptha-tesseract-js/install, then install with: npx skills add naptha/tesseract.js

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Manifest

/api/registry/manifest/naptha-tesseract-js

LLM text

/api/registry/manifest/naptha-tesseract-js?format=text

Install alias

/api/registry/install/naptha-tesseract-js

Recommend

/api/registry/recommend?task=Use%20Tesseract.Js%20in%20an%20agent%20workflow&limit=3

Agent fit

100/100

Document processing

Use-case tags

Document processingCoding agentsRAG and knowledge

Platforms

JavaScript, OCR, Claude Code

Audit report

Safe to try ยท 93/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit reportView eval report

Agent decision cockpit

Primary pick for Document processing

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100
Readiness
Adopt
Stage

Role in stack

Primary pick

Primary fit

Document processing

Trust label

Production-ready

Install path

Command ready

Use when

  • Document processing workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Evidence

  • 38,144 GitHub stars
  • recent repository activity
  • install command or GitHub repo available
  • 100/100 quality profile
  • 67 OpenAgentSkill engagement events

Review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one Document processing task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Review then install

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

88
Trust score

GitHub adoption

PASS

38K GitHub stars

Stars/forks activity

PASS

38K stars, 2.4K forks; issue activity unavailable in current metadata

Recent maintenance

PASS

2mo since push

License clarity

PASS

Apache-2.0

Good signals

  • Manually verified listing
  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Large GitHub adoption signal
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Documentation summary is thin
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Use as the primary candidate after human or sandbox review.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

100
GitHub stars
38K
Freshness
2mo ago
Install ready
Yes
License
Apache-2.0

Workflow fit

Use this skill in these scenarios

Parse messy files

Document processing

I need my agent to read PDFs, extract tables, and turn documents into structured data.

Build and ship code

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Search private knowledge

RAG and knowledge

I need my agent to build a RAG workflow over documents and retrieve reliable context.

Workflow fit

Add it to a complete workflow

Inspect, patch, and verify code

Coding review agent

A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.

Ingest, retrieve, and cite

RAG knowledge base

A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.

Scrape, clean, and reuse web data

Web data pipeline

A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.

Alternative shortlist

Compare before you install

Similar skills in this category, ranked with the same readiness and quality signals.

Compare all

Markitdown

Python tool for converting files and office documents to Markdown.

Adopt
Ready100
Quality100
Stars156.1K

PaddleOCR

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

Adopt
Ready100
Quality100
Stars83.1K

Stirling PDF

#1 PDF Application on GitHub that lets you edit PDFs on any device anywhere

Adopt
Ready100
Quality100
Stars81.2K

Tesseract

Tesseract Open Source OCR Engine (main repository)

Adopt
Ready100
Quality100
Stars74.7K

Overview

Pure Javascript OCR for more than 100 Languages ๐Ÿ“–๐ŸŽ‰๐Ÿ–ฅ

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

javascriptFULL
ocrFULL

Technical Details

Version
1.0.0
License
Apache-2.0
Last Updated
6/18/2026
Published
6/5/2026

Frameworks & Tools

JavaScriptOCR

Decision snapshot

Primary pick

100
Ready
Adopt
Stage

38,144 GitHub stars

Audit snapshot

Install review

Install and adoption review

93
Safe to try
Security
89/100
Maintenance
88/100
Install
92/100
Open full auditOpen eval report

Agent-proven evidence

Agent Proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
โ€”
Recent failure
โ€”
Outcomes
0
Output quality
โ€”
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Agent-Proven rankingOutcome contract

Install

Add to agent workflow

Free and open source. Review the audit before production use.

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

Scenario-led draft for Tesseract.Js, ready for a manual X post.

Curator note
Most web agents fail in the boring part: messy pages, missing context, repeatable extraction.

Tesseract.Js gives agents a cleaner path to browse, extract, and monitor web pages.

38.1K stars

https://www.openagentskill.com/skills/naptha-tesseract-js?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for Tesseract.Js:
https://www.openagentskill.com/skills/naptha-tesseract-js?ref=x

Install: npx skills add naptha/tesseract.js
Open reply draft

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
naptha
Source
naptha/tesseract.js
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This community indexed listing is attributed to naptha but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/naptha-tesseract-js?metric=listed&label=Listed)](https://www.openagentskill.com/skills/naptha-tesseract-js)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/naptha-tesseract-js?metric=trust&label=Trust)](https://www.openagentskill.com/skills/naptha-tesseract-js)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/naptha-tesseract-js?metric=audit&label=Audit)](https://www.openagentskill.com/skills/naptha-tesseract-js/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/naptha-tesseract-js?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/naptha-tesseract-js)
Preview badge Open audit Creator Kit

Author

N

napthaโœ“

@naptha

Tags

ocrdocumentsextractiondeep-learningjavascripttesseractwebassemblygithub

Platform Fit

Claude Code

Health Signals

GitHub stars
38.1K
Quality score
72/100
Last GitHub push
May 17, 2026
Framework hints
2
OpenAgentSkill views
5
Install copies
0
Outbound clicks
0

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

Review then install

88
  • GitHub adoption38K GitHub starsPASS
  • Stars/forks activity38K stars, 2.4K forks; issue activity unavailable in current metadataPASS
  • Recent maintenance2mo since pushPASS
  • License clarityApache-2.0PASS
  • README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS

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Python tool for converting files and office documents to Markdown.

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