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Pawa AI Document Parsing extracts text, tables, and structured data from various document formats. Perfect for digitizing paper documents, processing forms, and building document analysis workflows. Unlock the full potential of your documents with our multilingual support, annotations and adaptable workflows for all document types, enabling you to extract, comprehend, and analyze information with ease.
Document Parsing Example
Document Parsing Example

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Parsing Based Models in Pawa AI.

Currently we have one parsing model, full advanced, OCR built-in:
  • pawa-v1-parser-20250809: Structured extraction and data understanding for unstructured text, enabling automation and insights.

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Some Use Cases of Our Document Parsing API

📄 Invoice Processing

Extract vendor details, amounts, dates, and line items from invoices for automated accounting.

📋 Form Digitization

Convert paper forms into structured data for databases and workflow automation.

📊 Report Analysis

Extract tables, charts, and key metrics from business reports and presentations.

📚 Knowledge Base

Process documents for searchable knowledge bases and document management systems.

📝 Contract Analysis

Extract key terms, dates, and clauses from legal documents and contracts.

🏥 Medical Records

Process patient forms, prescriptions, and medical reports for digital health systems.

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Supported Formats

Pawa AI can parse and understand a wide range of formats, including:
  • PDFs
  • DOCX
  • Excel (XLSX)
  • PowerPoint (PPTX)
  • Images (PNG)
  • Audio files
  • Web links / HTML

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Documents Parsing Request Example

curl --request POST \
  --url https://api.pawa-ai.com/v1/documents/parse \
  --header "Authorization: Bearer $PAWA_AI_API_KEY" \
  --header 'Content-Type: multipart/form-data' \
  --form model=pawa-v1-parser-20250809 \
  --form documents=@example-file

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Response format example

{
  "success": true,
  "message": "Documents parsed successfully",
  "data": [
    {
      "fileName": "file.pdf",
      "fileType": "application/pdf",
      "fileSize": 123456,
      "content": "This is the content of the document."
    }
  ]
}

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Use Chat Request to get Structured Data After Extraction

After parsing a document, use Pawa AI’s chat models to extract structured data, answer questions, or analyze the content. To learn more about structured data, visit here.

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Example to get structured request

# 1. Parse the invoice
curl --request POST \
  --url https://api.pawa-ai.com/v1/documents/parse \
  --header "Authorization: Bearer $PAWA_AI_API_KEY" \
  --header 'Content-Type: multipart/form-data' \
  --form model=pawa-v1-parser-20250809 \
  --form documents=@example-file

# 2. Extract structured data using chat
    curl https://api.pawa-ai.com/v1/chat/request \
      -H "Content-Type: application/json" \
      -H "Authorization: Bearer $PAWA_AI_API_KEY" \
      -d '{
        "model": "pawa-v1-blaze-20250318",
    "messages": [
      {
        "role": "system",
        "content": "Extract invoice data and return as JSON with fields, as given in the response_format"
      },
      {
        "role": "user",
        "content": "Extract data from this invoice is :\n\n'here put the actual textual data extracted.........'"
      }
    ], 
    "response_format": {
    "type": "json_schema",
    "json_schema": {
      "name": "invoice_extractor",
      "strict": true,
      "schema": {
        "type": "object",
        "properties": {
          "reference_id": {
            "type": "string",
            "description":"The id of the invoice"
            "pattern": "^\\d+$"
          }
        },
        "required": [
          "reference_id"
        ],
        "additionalProperties": false
      }
    }
  }
  }'

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Best Practices for Structured Extraction

  • Be specific in prompts: Clearly define the JSON schema you want
  • Use examples: Show the model the format you expect
  • Validate output: Always parse and validate the JSON response
  • Handle errors: Check for malformed JSON and retry if needed
  • Batch processing: Process multiple documents with the same extraction template

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Limits

  • File size: Maximum 15MB per document
  • Rate limits: Based on your subscription plan
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