OCR & Document Extraction
Tools to pull text and structure out of images and PDFs — from in-browser OCR libraries to LLM-powered document extraction.
alternatives (4)
★ Mistral OCR
Best for: Complex documents
LLM-grade OCR that reads complex documents (tables, layouts) and returns clean structured text.
- +Handles layout/tables
- +High accuracy
- −API / paid
Tesseract.js
Best for: In-browser / offline OCR
Pure-JavaScript port of Tesseract that runs OCR directly in the browser or Node — no server needed.
- +Runs client-side
- +Free & open source
- −Weaker on messy scans
Unstructured
Best for: Docs → LLM/RAG pipelines
Pipeline for turning PDFs, images, and docs into clean, structured chunks ready for LLMs and RAG.
- +Many file types
- +RAG-ready output
- −Setup overhead
Unlimited-OCR
Best for: Open self-hosted OCR
Baidu's open OCR model for robust text recognition across documents and scenes — self-hostable, no per-page limits.
- +Open source
- +No usage caps
- +Strong recognition
- −Needs GPU for best speed
Compare
Tick the ones you want to compare
| Alternative | Type | Runs | Free tier |
|---|---|---|---|
| ★Mistral OCR | LLM OCR | API | Limited |
| Tesseract.js | Classic OCR | Browser / Node | Yes |
| Unstructured | Doc extraction | Library / API | Yes |
| Unlimited-OCR | Open OCR model | Self-host | Yes |
For quick client-side text recognition, Tesseract.js runs entirely in the browser. For messy real-world documents with tables and layout, Mistral OCR is far more accurate. To feed documents into an LLM or RAG pipeline, Unstructured turns them into clean structured chunks.