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GitHub
AI Others·2015
GitHub

IPED

sepinf-inc (Brazilian Federal Police team)·Brazilian Federal Police

Processes and indexes seized digital evidence — disk images, files, timelines — for forensic examiners. Bundles high-speed carving, OCR, named-entity recognition, similar-image and face search, and audio transcription behind scriptable Java parsers.

#github#nlp#ocr#ai-image#audio+1
GitHub
AI Image·2020
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PaddleOCR

PaddlePaddle·Baidu

Turns PDFs and images into structured Markdown or JSON for LLM use, recognizing text, tables, formulas, seals, and handwriting. Models scale from a 1.5M-param edge variant to a 0.9B vision-language model spanning 100+ languages.

#ocr#vision#python#gitHub#llm+5
GitHub
AI Client·2020
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SiYuan

siyuan-note (B3log)

Privacy-first, self-hosted personal knowledge manager with block-level references, Markdown WYSIWYG editing and large-document performance; offers local-first storage, OpenAI-based AI writing/Q&A integration, OCR, mobile apps and Docker deployment.

#github#typescript#docker#ocr#ai-api+4
GitHub
AI Image·2022
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Umi-OCR

hiroi-sora

Offline desktop OCR for Windows and Linux that extracts text from screenshots, image batches, and scanned PDFs without requiring a network connection. Bundles multilingual offline engines (PaddleOCR / RapidOCR), supports ignore-regions, searchable PDF output, CLI and HTTP interfaces for automation and integration.

#ocr#python#cli#gitHub#ai-tools+1
GitHub
AI Agent·2022
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LlamaIndex

LlamaIndex (run-llama), Jerry Liu·LlamaIndex

Connects LLMs to private and domain-specific data with ingestion, indexing, and retrieval primitives for RAG and agentic apps. Centers on document parsing via LlamaParse for 90+ file formats, schema-based extraction, and composable queries.

#ocr#agent-skills#RAG#llm#embeddings+5
GitHub
AI Train·2023
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LLaVA: Large Language and Vision Assistant

Haotian Liu, Chunyuan Li +3·University of Wisconsin-Madison, Microsoft Research +1

Connects a frozen vision encoder to a language model via visual instruction tuning, yielding an open multimodal assistant that follows image-grounded instructions. Released checkpoints span 7B-34B and approach GPT-4V on vision-language benchmarks.

#vision#llm#foundation-model#github#huggingface+4
GitHub
MLOps·2023
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BISHENG

DataElement (dataelement)·DataElement

Self-hostable platform for building enterprise GenAI apps with visual workflow orchestration — loops, parallelism, human-in-the-loop — plus RAG, agents, unified model management, and in-house OCR for handwriting and rare characters.

#mlops#llm#RAG#ai-workflow#ai-agent+5
GitHub
AI Model·2024
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Surya

Vikas Paruchuri, Datalab Team

Performs document OCR, layout analysis, reading-order detection and table recognition across 90+ languages using a ~650M-parameter vision–language model; offers per-page and per-block modes and supports GPU (vllm) and CPU/Apple Silicon backends.

#ocr#multilingual#vision#vllm#ai-inference+5
GitHub
AI Model·2024
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MiniCPM-V

OpenBMB, ModelBest +1

Pocket-sized multimodal LLM for efficient image- and video-understanding on mobile and edge devices, featuring mixed 4x/16x visual-token compression (MiniCPM‑V 4.6), compact 1.3B variants, and ready guides for iOS/Android/HarmonyOS deployment.

#multimodal#vision#video#LLM#huggingface+5
GitHub
AI Client·2024
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Karakeep

Mohamed Bassem·Localhost Labs Ltd, karakeep-app (GitHub)

Self-hostable “bookmark everything” app for saving links, notes, images and PDFs with automatic fetching of previews, full-text search, OCR, and LLM-based automatic tagging and summarization (supports local models via ollama). Targets users who want AI-assisted organization in a self-hosted stack.

#typescript#LLM#ollama#openai#ai-tools+9
GitHub
AI Deploy·2024
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Unstract

Zipstack

Extracts structured JSON from unstructured documents — PDFs, scans, images — by defining extraction schemas as natural-language prompts, then shipping them as REST APIs or ETL pipelines. Swappable across LLM providers and vector DBs.

#LLM#ocr#docker#ai-api#mcp-server+4
GitHub
AI API·2024
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MLX-VLM

Blaizzy

Provides local inference, fine-tuning, and a server/CLI for vision–language and omni (image/audio/video) models via MLX. Supports multi-image chat, audio/video inputs, activation quantization (CUDA), TurboQuant KV cache, and LoRA/QLoRA fine-tuning for on-device workflows.

#vision#ai-inference#ai-serving#python#github+5
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