Most OCR tools still read a page the clumsy way — top-left to bottom-right, one character at a time — which is exactly why they choke on tables, multi-column layouts, and scanned forms. How to use DeepSeek OCR comes down to picking the right access route for your skill level: a free browser demo if you just need to extract text from a document today, or a local setup if you’re processing documents at scale. Either way, both DeepSeek OCR and its newer sibling, OCR 2, are free, open-source, and genuinely strong at reading documents the way a person would.
What Is DeepSeek OCR?
DeepSeek OCR is an open-source vision-language model built specifically for document understanding rather than plain text extraction. Instead of processing a page character by character, it treats the whole page as an image and compresses it into a small number of visual tokens, keeping roughly 97% accuracy at up to 10x compression. That approach makes it fast and lets it hold onto layout — tables, columns, and mixed content — far better than older OCR tools.
DeepSeek OCR vs. DeepSeek OCR 2: What Changed
DeepSeek OCR 2 (released January 27, 2026) is a 3-billion-parameter update built around a new encoder called DeepEncoder V2. The core improvement is reading order: instead of scanning a page in a fixed grid, it follows a more human-like sequence — titles first, then paragraphs, then tables and figures — which noticeably reduces errors on complex layouts and documents with mixed languages. If you’re starting fresh, OCR 2 is the better default; the original OCR model still works well for simpler, single-column documents.
How to Use DeepSeek OCR: No Installation Needed
The fastest way to try either model is through a free, browser-based demo on Hugging Face Spaces — no coding or GPU required.
1. Open a Demo Space
Search “DeepSeek OCR 2 Demo” on Hugging Face, or go directly to a hosted Space. Several community-run demos are available; look for one clearly labeled DeepSeek-OCR-2 if you want the newer model.
2. Upload Your Document
Upload an image or a page from a PDF. Most demos accept photos, scans, and screenshots directly.
3. Choose a Task Mode
Pick the mode that matches what you need: plain text extraction for a quick copy-paste, markdown conversion if you want the layout and formatting preserved, or figure/table parsing for structured data.
4. Copy the Output
The extracted text appears in the interface, ready to copy directly into a document, spreadsheet, or note-taking app.
Running DeepSeek OCR Locally
For processing many documents, or for anything you’d rather not upload to a public demo, running the model on your own hardware is straightforward if you’re comfortable with Python.
- Requirements. A GPU with roughly 16 GB of VRAM is recommended for smooth performance, though small documents can run on CPU with more RAM and patience.
- Setup. The model is available on Hugging Face under the deepseek-ai organization. Install the required Python packages (transformers, torch, and a few supporting libraries), then load the model with a few lines of code.
- Prompting. DeepSeek OCR uses specific prompt tags to control output: a grounding tag preserves document layout when converting to markdown, while a plain “Free OCR” prompt returns text without layout formatting.
- Ollama option. If you’d rather skip Python entirely, DeepSeek OCR also runs through Ollama with a single command, which handles the setup for you.
Practical Tips for Better Results
- Use markdown mode for structured documents. Tables, invoices, and multi-column layouts come out far cleaner with layout-aware conversion than plain text extraction.
- Scan at a reasonable resolution. Very low-resolution or blurry images reduce accuracy regardless of which mode you use.
- Process in batches for large jobs. If you’re digitizing many pages, running them through the local setup in a loop is far faster than uploading one at a time to a demo.
Frequently Asked Questions
Is DeepSeek OCR free to use?
Yes. Both DeepSeek OCR and OCR 2 are open-source and free, whether you use a hosted demo, run them locally, or call them through a free-tier API service.
Which version should I use, OCR 1 or OCR 2?
OCR 2 is the better default for most documents, especially anything with complex layouts, tables, or mixed languages. The original OCR model is still a solid, slightly lighter option for simple single-column text.
Do I need a powerful computer to use DeepSeek OCR?
Not if you use the online demo — that runs entirely in the browser on someone else’s hardware. Running it locally for heavy or private workloads benefits from a GPU with around 16 GB of VRAM.
How is DeepSeek OCR different from DeepSeek’s chat models?
DeepSeek OCR is a dedicated vision-language model built specifically for reading documents and images, separate from DeepSeek’s general-purpose chat models. For everyday chat and reasoning tasks, see our guide on how to use DeepSeek.
Final Thoughts
DeepSeek OCR and OCR 2 make document digitization genuinely accessible — start with the free browser demo if you just need to pull text from a handful of pages, and move to a local setup once you’re processing documents regularly or need to keep sensitive files off a public server. Either way, the layout-aware modes are worth using for anything beyond plain paragraphs.
