Import classical manuscripts, historical texts, and academic PDFs. AI-powered OCR, semantic search, and structured note-taking — built for serious scholars.
Built from the ground up for classical manuscript studies and academic research workflows.
Import any Arabic or Ottoman PDF. Our AI automatically detects headings, footnotes, structured text blocks, and commentary sections with high precision.
Process scanned manuscripts with our custom Arabic/Ottoman HTR model trained on H100 GPUs. Supports Naskh, Talik, Riqa, Sülüs, and Divani scripts.
Search across all your sources simultaneously. Find related primary texts, scholarly commentary, and cross-references with context-aware results.
Write structured notes with rich text, link directly to source passages, and organize by topic. Full TipTap editor with Arabic RTL support.
Pre-loaded with classical academic texts. Add your own books, manuscripts, or academic PDFs from any source.
Your data stays on your device. No cloud dependency, no privacy concerns. Works completely offline after initial setup using SQLite locally.
Import any book, manuscript, or document and start researching in minutes.
Add a PDF or image of any Arabic/Ottoman manuscript. Our AI pipeline automatically detects the document type — digital PDF, scanned book, or handwritten manuscript.
Our parser identifies headings, body text, footnotes, structured text blocks, and commentary sections. Scanned documents are processed by our custom Arabic/Ottoman OCR model.
Instantly search across all your imported sources. Results are ranked by relevance and grouped by source, making cross-referencing effortless.
Write notes that link directly to source passages. Build a personal knowledge base with full context preserved — ready for research papers or teaching.
OCR/HTR and handwriting recognition models are trained on the following corpora. Some dataset names are available upon request via info@menba.app.
Menba is currently in development. Be the first to know when we launch.
Or contact us directly: info@menba.app