Ocrbase

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ocrbase is an AI Agents & Automation tool that provides a model-agnostic OCR API for converting PDFs and images into structured Markdown or JSON. It is self-hostable and supports state-of-the-art OCR models like PaddleOCR and GLMOCR.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is ocrbase?

ocrbase is a lightweight, model-agnostic OCR API designed for standardizing document parsing across various visual language models (VLMs). It allows users to convert PDF and image documents into structured data formats such as Markdown and JSON. The tool is self-hostable and integrates with leading OCR models like PaddleOCR and GLMOCR, which boast high accuracy on benchmarks. Key features include API endpoints for parsing documents, asynchronous job processing, and structured data extraction. It also offers optional S3 input staging and BullMQ parse queuing for enhanced scalability and reliability, making it suitable for developers needing robust document processing capabilities.

Best used for

Ideal for developers who need to integrate advanced OCR capabilities into their applications, convert unstructured documents into structured JSON or Markdown, and process large volumes of documents asynchronously. Especially valuable for building custom document intelligence solutions with self-hosted, high-accuracy OCR models.

Common actions

extract data from documents

convert documents to JSON

process images with OCR

integrate OCR API

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Capabilities

Key features

Model-agnostic OCR API
PDF/IMG to MD/JSON
Self-hostable
PaddleOCR/GLMOCR support
Asynchronous job processing
S3 input staging
BullMQ parse queue

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What OCR models does ocrbase support?

ocrbase is model-agnostic and supports state-of-the-art OCR models such as PaddleOCR and GLMOCR. It requires users to point the API to a running inference server for these models, as ocrbase itself does not ship the models.

Can ocrbase handle asynchronous document processing?

Yes, ocrbase supports asynchronous processing. If Redis and S3 environment variables are configured, it enables a queue mode using BullMQ, allowing users to enqueue parse and extract jobs and check their status later.

Is ocrbase self-hostable?

Yes, ocrbase is designed to be self-hostable. It can be easily deployed using Docker, with a simple `docker run` command, making it convenient for developers to integrate into their existing infrastructure.

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Also listed in

This tool also appears in

Productivity & Business › Document Management Coding & Development › Open Source & Models Data & Analytics › Web Scraping & Extraction

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