BetterOCR

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BetterOCR is an AI Agents & Automation tool that enhances text detection by combining multiple OCR engines with an LLM. It corrects and reconstructs OCR output for improved accuracy, especially for diverse languages.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is BetterOCR?

BetterOCR is an open-source tool designed to significantly improve text detection by integrating results from multiple Optical Character Recognition (OCR) engines, including EasyOCR, Tesseract, and Pororo, with the advanced capabilities of a Large Language Model (LLM). This combination allows BetterOCR to correct and reconstruct OCR output, addressing common issues like noisy results and a lack of training data for specific languages. It supports custom contexts, enabling users to provide keywords like proper nouns for enhanced spelling correction and noise identification. The tool is particularly beneficial for languages like English, Korean, and Hindi, demonstrating improved performance across various examples. It also offers box detection for precise text localization.

Best used for

Ideal for developers and data scientists who need to achieve higher accuracy in text extraction from images, process documents in various languages including those with limited training data, and correct noisy OCR results. Especially valuable for applications requiring robust and reliable text recognition.

Common actions

improve OCR accuracy

extract text from images

process multi-language documents

correct OCR errors

collaborationdeepfakeworkflowslow-code/no-codeautomated workflowgithub copilot"AI Agents"face swappingopen-source

Capabilities

Key features

Combine multiple OCR engines
Integrate with LLM
Custom context support
Text detection
Box detection
Multi-language support

Target Audience

developerdata scientist

Integrations

openai

Pricing & Plans

Open Source

Free

FAQs

Which OCR engines does BetterOCR combine?

BetterOCR combines results from EasyOCR, Tesseract, and Pororo. For Pororo, it utilizes code from 'korean_ocr_using_pororo' and specifically uses BrainOCR for text recognition, primarily for English and Korean languages.

What LLMs are supported by BetterOCR?

BetterOCR currently supports chat models from OpenAI. Users can configure OpenAI options, including specifying an API key and model parameters, with 'gpt-3.5-turbo' being the default model if not otherwise specified.

How does the custom context feature work in BetterOCR?

The custom context feature allows users to provide an optional context, such as proper nouns or product names. This context assists the LLM in performing more accurate spelling corrections and identifying noise, improving overall accuracy for specific keywords.

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