Pixmind
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DeepSeekDeepSeek/ LLMPlanned

DeepSeek OCR API

deepseek-ocr

DeepSeek OCR turns one document image into editable text or Markdown. Upload a scanned page, receipt, table, or figure and choose a focused extraction prompt. Each request processes one image independently, with up to 8K input and 8K output tokens.

  • Vision
  • Document OCR
  • Streaming

This route is published for integration planning and is not accepting requests yet.

Playground

Configure a request, inspect the exact JSON, then run it with your account.

Playground opens when this route becomes available.
Response
The API response will appear here.

API PRICING

API pricing

Compare the complete API billing table for this route. Token models separate input, output, cache-read, cache-write, and long-context rates; media models vary by configuration.

Pricing coming soon

CAPABILITIES

What this route supports

Use one stable PixMind model ID while keeping provider-specific setup out of your application.

Vision

Analyze supplied images together with written instructions.

Document OCR

Use Document OCR through the live DeepSeek OCR route without maintaining a separate provider integration.

Streaming

Return partial output as it is generated for responsive product experiences.

WHY DeepSeek OCR

Production-grade image capabilities

What makes DeepSeek OCR a strong choice for high-fidelity, text-aware image workflows.

Document image to Markdown

Upload one scanned page and use Convert the document to markdown. to extract editable content.

Receipts, tables, and figures

Use Free OCR. for plain text or Parse the figure. for a table or chart image.

Simple token pricing

Studio and API both charge 21 input credits and 84 output credits per million tokens, at 50% of official rates.

TECHNICAL SPECS

Supported parameters

Inputs, supported configurations, and request parameters for the DeepSeek OCR API.

Input
One image, one user message
Maximum image size
10 MB
Context window
8,192 tokens
Maximum output
8,192 tokens
Output
Editable text or Markdown

MODEL WORKFLOWS

What to build with DeepSeek OCR

Choose a task that matches the live route capabilities, then adapt one of these prompt starters.

Best-fit tasks

  • Build drafting, rewriting, extraction, classification, and conversational workflows.
  • Analyze supplied images together with written instructions.
  • Return partial output as it is generated for responsive product experiences.

Prompt starters

Replace the brackets
Starter

Inspect the supplied image for [task]. Separate direct observations from inferences, extract [required fields], and return the result as [format].

Starter

Answer [user task] in a clear structure. Put the direct result first, keep each section self-contained, and avoid delaying essential information until the end.

MODEL SELECTION

Choose DeepSeek OCR when the job fits

Compare nearby live routes by task, supported capability, and current entry price before you lock a model ID into production.

ModelBest forKey capabilitiesEntry priceAvailabilityAction
DeepSeek OCR
DeepSeek · current page
Build drafting, rewriting, extraction, classification, and conversational workflows.Text · Vision · Image input$0.02222 / 1M tokensPlannedSelected
DeepSeek V4 Flash
DeepSeek
Build drafting, rewriting, extraction, classification, and conversational workflows.Text · Reasoning · Coding$0.237 / 1M tokensAvailableView route
DeepSeek V4 Pro
DeepSeek
Build drafting, rewriting, extraction, classification, and conversational workflows.Text · Reasoning · Tool calling$0.6667 / 1M tokensAvailableView route
DeepSeek V4.1 Flash
DeepSeek
Build drafting, rewriting, extraction, classification, and conversational workflows.Text · Reasoning · Tool calling$0.1481 / 1M tokensAvailableView route

Capabilities and starting prices are a current PixMind route snapshot. The accepted request contains the final configuration and billing quote.

GET STARTED

From playground to production

01

Create a scoped key

Create an API key with the permissions required by this model.

02

Send the request

Use the model ID and endpoint shown above from your backend service.

03

Track the task

Read language-model output from the response. For image and video requests, use the returned task ID to retrieve the result.

FAQ

DeepSeek OCR API questions

What can DeepSeek OCR extract?+

Printed document content, receipts, table text, and figure descriptions from a single image.

Can I send a PDF or multiple pages?+

Send one image in one user message per request. Convert PDF pages to images and recognize each page separately.

Which prompt should I use?+

Use Free OCR. for text, Convert the document to markdown. for Markdown, and Parse the figure. for figure or table content.

What does it cost?+

Studio and API use the same all-day price: 21 credits per million input tokens and 84 credits per million output tokens, at 50% of official rates.

What model ID should I use for the DeepSeek OCR API?+

Use deepseek-ocr in the model field. This is the stable PixMind route identifier shown in the playground request JSON.

Which endpoint does the DeepSeek OCR API use?+

Send POST requests to /v1/chat/completions. Keep your API key on your server and pass it as a Bearer token.

Is the playground using a real API request?+

Yes. When you click Run model, PixMind forwards the displayed payload with the API key you entered. A successful request may create a paid task.

Does PixMind save the API key entered here?+

No. The playground keeps the key only in component memory and sends it for the current request; it is not written to browser storage.

Is API pricing the same as PixMind Studio pricing?+

No. API usage resolves through the apiPlatform pricing role and a separate pay-as-you-go ledger. Studio pricing includes the creation interface and product workflow services.

Why can the final price differ from the starting price?+

The entry price reflects the configuration displayed on this page. Resolution, duration, quality, audio, references, and output count can affect the final task price.

START WITH THE CONTROL PLANE

Turn your first DeepSeek OCR prompt into a real API request

Test the exact payload in the playground, then create a scoped key and move the same model ID into your application.