Manga OCR, online

Japanese text recognition, browser-native

Desktop Manga OCR tools specialize in extracting Japanese text from manga and comics, handling vertical and horizontal writing systems, furigana ruby text, and irregular panel layouts. chunks.md brings this capability directly to your browser — one of 8 OCR models that run entirely on your device — with no Python installation, no command-line setup, and no GPU configuration.

The browser-based approach handles multi-line speech bubbles, text overlaid on images, and diverse manga fonts just like desktop OCR tools, but you can start working immediately without downloading anything.

manga-ocr in the browser vs. the Python package

The popular manga-ocr Python package reads Japanese comic text better than any general-purpose OCR — but getting it running means a Python environment, pip dependencies, and ideally a GPU. chunks.md runs the same manga-ocr recognition model in your browser instead:

• No setup — open the page and drop in an image. The model downloads once and caches locally.
• Same specialty — the manga-ocr model shines on cropped speech bubbles and single text lines, vertical or horizontal, furigana included.
• Full pages covered too — the Python package leaves you to crop bubbles yourself. Here, a PaddleOCR model with the Manga & Comic preset detects every text region on a full page and reads each one, so a whole page comes back as text in a single run.
• Batch via PDF — drop in a multi-page PDF of scans and process the pages in one session.

Rule of thumb: single bubble or screenshot of one line → the MangaOCR model. Full page or double-page spread → a PaddleOCR model with the Manga & Comic preset. Both run locally.

Built for AI workflows and markdown output

Extract Japanese text to clean markdown that is ready for RAG pipelines, vector databases, and LLM training workflows. Translation teams use manga OCR output with DeepL and Gemini for automated pipelines, while language learners create flashcard datasets and study materials from scanned pages.

Instead of plain text dumps, you get structured markdown with preserved layout context. Manga OCR models achieve near 99% accuracy on clear printed Japanese text, making the extracted content reliable enough for AI training, translation memory, and automated document processing.

What you get here

Japanese language support covering both vertical and horizontal text, multi-page PDF processing, and markdown-ready output that you can paste directly into AI tools, translation apps, or study notes. The interface handles manga, light novels, textbooks, and any Japanese printed material — and for full pages with dense layouts, Unlimited-OCR (DeepSeek-based) also reads Japanese with layout awareness.

After the first OCR run, models cache in your browser for instant repeat use. No account registration, no upload queue or processing delays, and all text recognition happens locally on your device for complete privacy.

How to OCR a manga page

1. Open chunks.md and drop in your manga page, panel screenshot, or scanned PDF.
2. Pick the model: MangaOCR for a cropped speech bubble or text line, or a PaddleOCR model with the Manga & Comic preset for a full page.
3. Press Chunk it and let recognition run on your device.
4. Copy the Japanese text as markdown, or download it as a .md or .txt file for your translation tool, flashcards, or notes.

Everything happens locally — your pages are never sent anywhere.

Privacy and convenience

chunks.md is an independent browser tool, not the official Manga OCR project. Desktop Manga OCR requires Python installation and GPU setup for optimal performance, while online OCR tools upload your files to remote servers.

This browser-based approach gives you instant start with full privacy. Your manga pages and scanned documents stay on your device while OCR processing runs locally in the browser tab. No data uploads, no server transmission, no privacy compromise for the sake of convenience.

Common questions

Is this the same manga-ocr model as the Python version? Yes. chunks.md runs the manga-ocr recognition model itself in your browser — no Python environment, no pip install, no CUDA setup. It is best on cropped speech bubbles and text lines; for full manga pages, switch to a PaddleOCR model with the Manga & Comic preset, which detects the text regions on the page and reads each one.

Can it read vertical Japanese text and furigana? Yes. Vertical and horizontal writing, furigana ruby text, and stylized manga fonts are exactly what manga OCR is built for — the cases where general-purpose OCR falls apart.

Can it OCR full manga pages, or only single speech bubbles? Both, with the right model. For a cropped bubble or text line, the MangaOCR model reads it directly. For a full page, pick a PaddleOCR model with the Manga & Comic preset: detection finds the speech bubbles and text blocks first, then each region is recognized, so the whole page comes back as text in one run.

Is manga OCR free here? Do I need to install anything? Free, no account, no page limits, nothing to install. The models download once and are cached in your browser, so repeat use is instant and works offline.

Does my manga page get uploaded anywhere? No. OCR runs entirely on your device using WebAssembly and WebGPU. Your images and PDFs never leave your machine — there is no upload step at all.

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