Local_ai_ocr

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local_ai_ocr is an Open Source data & analytics tool that provides offline OCR for images and PDFs. It uses DeepSeek-OCR AI directly on your machine, ensuring data privacy and supporting multiple languages.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is local_ai_ocr?

local_ai_ocr is an open-source, portable OCR software designed for local and offline use after an initial setup. It leverages DeepSeek-OCR AI to process images and PDF files directly on your machine, offering robust data privacy as it requires no internet connection for operation. The tool supports both GPU and CPU processing, automatically detecting and utilizing GPU for acceleration when available. It handles multiple languages, including Vietnamese, English, and Chinese, and processes various file formats like .png, .jpg, .webp, .heic, .heif, and .pdf. Users can choose from three processing modes: Markdown (preserving formatting), Free OCR (better layout retention), and Standard OCR. It also features a queue system for multiple files and intelligent PDF handling, allowing page range selection.

Best used for

Ideal for developers and data scientists who need to perform secure, offline optical character recognition on images and PDF files, and process documents in multiple languages. Especially valuable for handling sensitive data where internet connectivity for OCR is not an option, ensuring data privacy and local processing.

Common actions

extract text

process documents

digitize content

convert images to text

github copilot"AI Agents"face swappingcollaborationdeepfakeautomated workflowlow-code/no-codeopen-sourceworkflows

Capabilities

Key features

Offline OCR
DeepSeek-OCR AI
GPU/CPU support
Multi-language support
PDF page range selection
Formatted text output
Queue system

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What are the system requirements for local_ai_ocr?

The recommended system requirements include Windows 10 or higher, a minimum 4-core/8-thread CPU, at least 16GB RAM, and 11GB free storage. For optimal performance, a GPU (preferably Nvidia) with at least 8GB VRAM is recommended, though the software can run on CPU only at a slower speed.

Does local_ai_ocr require an internet connection to function?

No, local_ai_ocr operates completely offline after the initial setup. The setup process involves downloading AI model weights (approximately 6.67 GB), but once this is complete, the software does not require any network connection, ensuring absolute data privacy.

What types of files can local_ai_ocr process?

local_ai_ocr can process various image formats including .png, .jpg, .webp, .heic, and .heif. It also supports processing .pdf documents, with an intelligent feature that allows users to select specific page ranges for processing within multi-page PDF files.

What are the different OCR processing modes available?

The software offers three processing modes: Markdown (retains formatting like tables), Free OCR (extracts text with better layout retention than standard), and Standard OCR (basic text extraction with less layout preservation). Users can choose the mode best suited for their document type.

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Coding & Development › Open Source & Models AI Agents & Automation › RAG & Document AI

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