PDF to markdown using vision LLMs — tables, layouts, and structure preserved
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Updated
Feb 21, 2026 - Python
PDF to markdown using vision LLMs — tables, layouts, and structure preserved
MOSS-VL is the core multimodal model series within the OpenMOSS ecosystem, dedicated to visual understanding.
Convert scanned PDFs into searchable text locally using Vision LLMs (olmOCR). 100% private, offline, and free. Features a modern Web UI & CLI.
Open standard for extracting reusable web design tokens via Playwright + Vision LLM. AI-ready.
AI Video Editor Pipeline with Vision LLM Models
PyMidscene - Midscene.js 的 Python SDK 实现 | AI 驱动的自然语言 UI 自动化,告别选择器,用中文描述即可操作。与官方缓存格式完全兼容。
Free OCR powered by LLMs using OpenRouter — extract text from images with no API costs. Works with image URLs and Base64 inputs using free vision-capable models.
Turn a phone flip-through video, photos, or a PDF of a book into a clean, proofread EPUB/PDF/Markdown — local vision-LLM digitization with a web GUI you can drive from your phone.
Powerful PDF data extraction library powered by AI vision models. Transform PDFs into structured, validated data using TypeScript, Zod, and AI providers like Scaleway and Ollama.
Free, offline OCR using local LLMs with Ollama. Convert images to text with vision-enabled models running entirely on your machine — no cloud, no API costs, full privacy.
🎬 Extract AI prompts from video using Vision LLM (llama.cpp API) — Gradio WebUI + CLI
Eyes for AI coding agents 👁️ — render → perceive → report → fix → re-render. A machine-graded visual feedback loop (DOM/contrast/OCR-grounded + optional vision LLM) agents consume to self-correct before claiming done.
AI-powered OCR for Diablo II: Resurrected - batch-extract item tooltips from screenshots using Vision LLMs (OpenAI, Groq, OpenRouter, LM Studio/Ollama). No Tesseract or EasyOCR needed.
GUI automation MCP server powered by local Vision LLM (Ollama). Control your Windows desktop from Claude Code, Codex CLI, and other MCP clients.
Unlock Claude Code with DeepSeek V4. Get Anthropic's agent tools with 95% lower costs and local vision.
AI health companion: reads lab-report images with a vision LLM (Ollama) and streams the analysis live. React + Express + MongoDB.
Proof-of-concept for automated visual testing using local vision LLMs via Ollama — no cloud, no API keys, fully on-premise.
A Python‑based incident detection engine that analyzes video feeds for motion, detects objects, and uses large language models (LLMs) to generate semantic descriptions of incidents. Designed for extensibility with custom detectors and processors.
A feature-rich desktop GUI for Ollama with Vision, RAG, and JSON support.
Multi-engine image generation filter for Open WebUI. Features automated prompt enhancement, multi-language support, and real-time Vision QC scoring. Supports A1111, ComfyUI, and OpenAI backends with integrated performance telemetry.
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