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Upload any manga page or Japanese text — every word becomes clickable.
AI-powered OCR extracts text from images (including speech bubbles), then breaks each word into readings, definitions, pitch accent, and example sentences. Tap any kanji for stroke order and radicals.
Built-in tools: Grammar Lab (sentence breakdowns + JLPT tags), Word Lab (JMDict/KanjiDic + AI context), and JLPT Sim (N5–N1 practice tests with audio).
All AI features included free. Made with love from Yokohama.

Yomeru AIJapanese Reading Tool With Built-In Superpowers
Vendoland Heavy Enterprisesleft a comment
Hey PH! Building Yomeru from Yokohama. I love reading manga in Japanese but constantly alt-tabbing to a dictionary killed the immersion. So I built the tool I wished existed. Upload a manga page and AI extracts every word. Tap any word for its reading, definition, pitch accent, example sentences. Tap any kanji for stroke order and radicals. No copy-paste, no tab-switching. Just reading. What...

Yomeru AIJapanese Reading Tool With Built-In Superpowers
Vendoland Heavy Enterprisesleft a comment
Hey everyone! I built chunks.md to make OCR fast, private, and hassle-free. Drop a PDF or image into your browser and get clean markdown back on desktop or mobile. Under the hood it runs 7 different OCR models via ONNX Runtime Web — from PaddleOCR v5 for general documents to manga-ocr for Japanese text. You pick the model, drop your files, and get structured text ready to paste into ChatGPT,...

chunks.mdTurn your files into clean markdown. Processed locally.
chunks.md turns PDFs and images into clean, AI-ready markdown — entirely in your browser. No uploads, no servers, no sign-ups. Drop your files, pick an OCR model, and get structured text you can paste straight into ChatGPT, Claude, or your RAG pipeline. Powered by 7 on-device OCR models (including PaddleOCR v5, SmolDocling, and manga-ocr), everything runs locally via ONNX Runtime Web. Your documents never leave your device. Free and unlimited.

chunks.mdTurn your files into clean markdown. Processed locally.
