| What it does | Translate PDFs and keep the original layout
| Extract editable text from images privately in your browser
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| Stage | Not given
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| Founded | Not given
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| Based in | HK
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| Pricing model | Freemium
| Free
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| Pricing | Free: 20 credits every 7 days for verified accounts (each text PDF page costs 1 credit). Planned credit packs: 50 credits $4.99, 200 credits $12.00, 1,500 credits $59.00, 4,000 credits $139.00, 10,000 credits $299.00. Delivery Edition (not yet available): up to 5 pages $14.99, up to 20 pages $29.99,
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| Key features | - Layout preservation for charts, tables, formulas and heading styles
- Side-by-side page comparison of original and translation
- Translation of digital PDFs, scanned PDFs, and photos
- Download translated or bilingual PDF formats
- Automatic text recognition for scanned documents
- Access controls with expiring document links
- Translation history tracking
- MCP integration for AI agent access
- Delivery Edition with quality checks
| - Process up to 10 images at once, up to 100 MB total
- Support for JPEG, PNG, WebP, BMP, TIFF, HEIC, and HEIF formats
- English and Chinese language recognition including mixed text
- Fast and High accuracy processing modes
- Extract text as plain text or table Markdown format
- Download individual results or batch as ZIP file
- Offline capability after initial download
- PDF to text conversion for native and scanned PDFs
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| What makes it different | - Preserves original document layout while translating content
- Side-by-side reading enables verification of names, numbers and terms against the original
- Supports scanned documents and photos with automatic text recognition
- Privacy-focused with access checks and expiring document links
- Free credits available for verified accounts without requiring payment
| - All processing runs locally in your browser with no server uploads
- Files and results stay in your browser, never transmitted or stored on servers
- Works offline after first use with no accounts or sign-ups required
- Supports mixed English and Chinese text recognition in a single image
- Uses open-source PP-OCRv6 model with no server fallbacks
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 12 ● no change since last check | 22 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 3 | 5 |
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| Citation Flow (Majestic) | 24 | 19 |
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| Referring domains (Majestic) | 20 | 6 |
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iSomor
BrowserOCR