Unlimited Ocr
Local document parsing with baidu/Unlimited-OCR (MIT, 3B-total/500M-active MoE): markdown, LaTeX, tables and per-block layout bounding boxes, offline on Apple Silicon via MLX or an NVIDIA GPU via transformers. Ships the empirically-established working invocation (the upstream README's prompt decodes infinite garbage on MLX) and a figure segmenter that turns the model's refusal to describe charts i
Skills in this plugin
3- ▌ Unlimited Ocr Batch Folder · terrylicaBatch parse a folder of PDFs and images to markdown with LaTeX, tables, and layout boxes using baidu/Unlimited-OCR locally — with checkpoint/resume, incremental writes, and per-file repetition detection. Use when processing a large folder of scanned documents or research papers, when you need results written incrementally to survive interruption, or when extracting equations and tables from a document collection. TRIGGERS - batch ocr, ocr a folder, batch parse documents, parse multiple pdfs, folder to markdown, extract formulas from folder, ocr multiple files, batch document extraction, document collection parsing, checkpoint resume.
- ▌ Unlimited Ocr Parse Document · terrylicaParse an image, PDF, or directory into markdown with LaTeX formulas, HTML/markdown tables, and per-block layout bounding boxes, using baidu/Unlimited-OCR locally — free, offline, no API key, no upload quota. Runs on Apple Silicon via MLX (~2.4 s/image, ~5 GB) or an NVIDIA GPU via transformers. Use when transcribing scanned or image-based documents, extracting equations from a paper, converting a PDF to markdown, OCR-ing screenshots, or replacing a paid vision-API OCR call with a local one. TRIGGERS - unlimited-ocr, ocr this, ocr a pdf, extract text from image, transcribe document, pdf to markdown, document parsing, extract formulas, extract equations, latex from image, local ocr, offline ocr, scanned pdf, image to text, layout parsing, bounding boxes from document.
- ▌ Unlimited Ocr Segment Figure · terrylicaSplit a composite figure, screenshot, or dashboard into its individual panels by cropping the layout bounding boxes Unlimited-OCR detects, so each panel can be described separately by a vision model that is good at charts. Turns Unlimited-OCR's refusal to transcribe charts into a pre-processing win — one chart per prompt beats a nine-panel collage per prompt. Use when a vision model is misreading a dense multi-panel image, when you need per-figure crops from a paper or report, or when building a two-stage OCR pipeline that localises first and describes second. TRIGGERS - segment figure, split panels, crop charts from image, multi-panel figure, extract subfigures, per-panel description, layout segmentation, chart crops, split a screenshot into regions, dashboard panels, figure extraction.