Powered by DeepSeek‑VL2, DeepSeek OCR redefines accuracy and speed in text recognition. Extract printed, handwritten, and multilingual text from images, PDFs, and documents — instantly, with unmatched precision.
Built on DeepSeek‑VL2’s vision‑language engine, DeepSeek OCR achieves industry‑leading accuracy — over 99% on printed text and 92%+ on handwritten notes. It adapts dynamically to different fonts, layouts, and lighting.
Go beyond simple text extraction. DeepSeek OCR understands tables, forms, receipts, and mixed layouts, preserving structure for seamless post‑processing in Excel, Word, or JSON exports.
DeepSeek OCR leverages multimodal pretraining to decode low‑contrast, blurred, or handwritten text — ideal for notes, scanned archives, and manual documents.
Supports 50+ languages including English, Chinese, Japanese, Korean, Hindi, French, and Arabic. Detects mixed‑language text automatically without switching models.
Integrate DeepSeek OCR into your own apps with simple RESTful APIs and SDKs. Batch process images, PDFs, or entire folders with one call — no GPU setup required.
All OCR tasks are processed in secure, temporary sessions. Data is encrypted end‑to‑end and auto‑deleted within 24 hours — ensuring enterprise‑grade confidentiality.
Extract text from any image or document in just four easy steps
Drag and drop your image, PDF, or scanned document into the upload area. DeepSeek OCR supports JPEG, PNG, PDF, and TIFF up to 100MB.
Choose automatic detection or manually select your preferred language. For complex documents, enable ‘Layout Mode’ to preserve formatting and structure.
Click ‘Start Recognition.’ DeepSeek OCR performs AI‑driven text detection, segmentation, and recognition in real time — extracting even faint or handwritten text accurately.
Download recognized text as TXT, DOCX, JSON, or Excel. Developers can call the API endpoint for automated text extraction in their pipelines.
Trusted by researchers, developers, and document‑heavy teams worldwide
"DeepSeek OCR has become essential for digitizing our research archives. It accurately extracts even handwritten equations and old printed papers — a major step forward in AI‑OCR."
"We integrated DeepSeek OCR into our internal automation system. The API documentation is clean, performance is excellent, and throughput exceeds 3000 pages/hour."
"We process thousands of contracts monthly. DeepSeek OCR preserves layout and metadata better than any previous OCR service we tried — including Google and Azure OCR."
"The multilingual support is phenomenal. I extracted Arabic, Japanese, and English text from mixed PDFs with near‑perfect accuracy."
"Batch OCR mode reduced our manual data entry workload by 90%. The JSON export integrates seamlessly into our CRM system."
"DeepSeek OCR’s accuracy on handwritten notes is beyond impressive. It even recognizes cursive writing and blends of text and diagrams."
Learn how DeepSeek OCR works and what makes it the next generation of AI text recognition
DeepSeek OCR is an advanced optical character recognition engine powered by DeepSeek‑VL2. It uses vision‑language AI to extract text from images, scanned documents, and PDFs with exceptional accuracy and speed.
Unlike rule‑based OCR, DeepSeek OCR leverages deep learning and multimodal understanding. It doesn’t just recognize text — it understands document layout, language context, and handwriting patterns.
You can upload images (JPG, PNG, BMP), PDFs, and TIFF scans. Batch mode supports zipped archives, allowing up to 200 pages per batch.
Yes. DeepSeek OCR achieves over 92% accuracy on cursive and printed handwriting, thanks to its multimodal pretraining on millions of human‑annotated samples.
It supports over 50 languages — including English, Chinese, Japanese, Korean, Hindi, Arabic, French, and Spanish — with automatic detection and code‑switching between them.
Yes. DeepSeek OCR’s ‘Layout Mode’ retains columns, tables, and visual hierarchy, exporting results in DOCX, Excel, or JSON while keeping formatting intact.
Yes. DeepSeek OCR provides a RESTful API and SDK for Python, JavaScript, and Java. Developers can integrate OCR into their workflow, CRM, or data pipeline easily.
Independent tests report over 99% accuracy on printed documents and 96% on mixed‑language pages. It excels in invoices, forms, contracts, and research papers.
Each page is processed in 1–2 seconds depending on file size. Batch jobs are handled asynchronously for faster throughput.
Absolutely. All data is encrypted in transit and at rest. Files are automatically deleted within 24 hours, ensuring compliance with GDPR and enterprise privacy standards.
Currently, DeepSeek OCR runs on cloud servers for optimal performance. An enterprise offline deployment option is available upon request.
Popular uses include digitizing printed archives, automating invoice data entry, processing contracts, academic document scanning, and multilingual text extraction.
A free tier allows limited daily conversions. Paid plans offer higher volume, batch API access, and priority processing for enterprise users.
