Added Jul 12, 2026

D

Next-gen document intelligence with context optical compression and multilingual support.
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Was ist D?

DeepSeek OCR is a two-stage transformer-based document AI system that utilizes context optical compression to deliver state-of-the-art document intelligence. It compresses high-resolution documents into lean vision tokens, then decodes them with a 3B-parameter mixture-of-experts model to achieve near-lossless text, layout, and diagram understanding across 100+ languages. It supports GPU-efficient throughput for complex layouts and is trained on 30 million real PDF pages plus synthetic data, preserving layout structure, tables, chemistry (SMILES strings), and geometry tasks.

Next-gen document intelligence with context optical compression and multilingual support.

Kernfunktionen
Context Optical Compression Engine
Multilingual Support (100+ languages)
Structured Output (HTML, Markdown, SMILES, JSON)
GPU-efficient throughput (200k pages/day on A100)
High precision (97% exact-match accuracy)
MIT-licensed weights for on-premises deployment
Beliebte Anwendungsfaelle
  • Compressing scanned books and reports for downstream search, summarization, and knowledge graphs.
  • Extracting geometry reasoning, engineering annotations, and chemical SMILES from technical diagrams and formulas.
  • Building global corpora across 100+ languages for multilingual dataset creation.
  • Embedding into invoice, contract, or form-processing platforms for layout-aware JSON and HTML output.
So benutzt du es
  • DeepSeek OCR can be used in three main ways: 1. Deploy locally with GPUs by cloning the GitHub repo
  • downloading the 6.7 GB checkpoint
  • and configuring PyTorch. 2. Call DeepSeek OCR via its OpenAI-compatible API endpoints to submit images and receive structured text. 3. Integrate DeepSeek OCR into existing workflows by converting OCR outputs to JSON
  • linking SMILES strings to cheminformatics pipelines
  • or auto-captioning diagrams.
Preise
D verwendet ein Freemium-Preismodell. Preise und Funktionen koennen sich mit der Zeit aendern.
API Input Tokens (Cache Hit)
$0.028
Per 1M input tokens when cache is hit
API Input Tokens (Cache Miss)
$0.28
Per 1M input tokens when cache is missed
API Output Tokens
$0.42
Per 1M output tokens
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AI WritingContent GenerationResearchEmail WritingSummarizationRewritingAcademic ResearchBrowser ExtensionFreemium
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