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GitHub
AI Others2015

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
AI Image2020

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.

GitHub
AI Client2020

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
AI Image2022

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.

GitHub
AI Agent2022

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.

GitHub
AI Train2023

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.

GitHub
MLOps2023

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.

GitHub
AI Model2024

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.

GitHub
AI Model2024

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.

GitHub
AI Client2024

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.

GitHub
AI Deploy2024

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.

GitHub
AI API2024

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.