Autype Lens - Autype

Autype Lens is a suite of AI-powered endpoints for document understanding. Under the hood, Lens combines modified open-source models to provide both stability and comprehensive functionality for processing PDFs, DOCX, ODT, and Markdown files. All Lens endpoints follow the standard tools job workflow: upload a file, create a job, poll for completion, read the result.

Endpoints

Endpoint	Description	Cost
`POST /tools/lens/ocr`	Extract text from a document	2 credits/page for `md`; 18 credits/page for `mdd` or `json`
`POST /tools/lens/generate-filename`	Generate a structured filename	6 credits (flat)
`POST /tools/lens/classify`	Classify a document into categories	6 credits (flat)
`POST /tools/lens/extract`	Extract structured data from a document	14 credits per page

Supported file types

All Lens endpoints accept the following file types:

Format	MIME type
PDF	`application/pdf`
DOCX	`application/vnd.openxmlformats-officedocument.wordprocessingml.document`
ODT	`application/vnd.oasis.opendocument.text`
Markdown	`text/markdown`

Limits

Limit	Value
Maximum file size	50 MB
Maximum PDF pages	20 on Engine; 150 on Editor, Pro, Pro trial, and Team; custom/unlimited on Enterprise
Maximum pages processed (extract)	50 pages
Maximum categories (classify)	50
Minimum categories (classify)	2
Maximum fields (extract)	30
OCR output formats `mdd` and `json`	PDF only
Page selection (`pages` parameter)	PDF only

OCR

Extract text from a document. Returns the document content as Markdown.

Output formats

Format	Description	Supported input
`md`	Standard Markdown — raw text extraction	PDF, DOCX, ODT, Markdown
`mdd`	Autype extended Markdown with document settings, defaults, header/footer	PDF only
`json`	Full Autype document JSON with sections and elements	PDF only

The mdd and json output formats are only available for PDF files. For DOCX, ODT, and Markdown files, use md.

Page selection

For PDF files with md output format, you can optionally select specific pages using the pages parameter:

{
  "fileId": "your-file-id",
  "outputFormat": "md",
  "pages": ["1", "3-5", "10-"]
}

Page spec syntax:

"3" — single page
"2-5" — page range (inclusive)
"10-" — from page 10 to end

If pages is omitted, all pages are processed.

Example request

curl -X POST https://api.autype.com/api/v1/dev/tools/lens/ocr \
  -H "X-API-Key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "fileId": "your-file-id",
    "outputFormat": "md"
  }'

Example result

{
  "id": "job-id",
  "action": "lens.ocr",
  "status": "COMPLETED",
  "result": {
    "outputFormat": "md",
    "content": "# Invoice\n\nInvoice Number: INV-2026-001\nDate: 2026-03-15\n\n| Item | Amount |\n|------|--------|\n| Service A | €500.00 |\n| Service B | €250.00 |\n\n**Total: €750.00**"
  }
}

Cost

Plain md output costs 2 credits per processed page. Document recovery to mdd or json costs 18 credits per processed page. For DOCX, ODT, and Markdown files, plain Markdown extraction is counted as one page.

Generate Filename

Generate a structured filename for a document based on a naming schema with placeholders. The AI reads the document and fills in the placeholder values.

Request

{
  "fileId": "your-file-id",
  "filenameSchema": "invoice-{invoiceNr}-{dateCreated}"
}

Property	Type	Required	Description
`fileId`	string	Yes	File ID of the uploaded document.
`filenameSchema`	string	Yes	Filename template with `{placeholder}` tags.
`webhook`	object	No	Optional webhook configuration.

Example result

{
  "id": "job-id",
  "action": "lens.generate-filename",
  "status": "COMPLETED",
  "result": {
    "generatedFilename": "invoice-INV-2026-001-2026-03-15",
    "placeholders": {
      "invoiceNr": "INV-2026-001",
      "dateCreated": "2026-03-15"
    }
  }
}

If a placeholder value cannot be found in the document, it is replaced with unknown.

Cost

6 credits per request. For PDFs, only the first three pages are sent to OCR.

Classify

Classify a document into one of the provided categories. The AI reads the first 3 pages of the document and picks the best matching category.

Request

{
  "fileId": "your-file-id",
  "categories": ["Invoice", "Contract", "Offer", "Delivery Note", "Other"]
}

Property	Type	Required	Description
`fileId`	string	Yes	File ID of the uploaded document.
`categories`	string[]	Yes	Array of category names (min 2, max 50).
`webhook`	object	No	Optional webhook configuration.

Example result

{
  "id": "job-id",
  "action": "lens.classify",
  "status": "COMPLETED",
  "result": {
    "category": "Invoice",
    "confidence": 0.95,
    "reasoning": "The document contains an invoice number, line items with prices, and a total amount, which are characteristic of an invoice."
  }
}

Result fields

Field	Type	Description
`category`	string	The selected category — always one of the provided categories.
`confidence`	number	Confidence score between 0 and 1.
`reasoning`	string	Brief explanation of why this category was chosen.

Edge cases

Empty document: Returns the first category with confidence: 0 and a message indicating the document is empty.
No clear match: The closest category is returned with a low confidence score.
The AI will never invent new categories — it always picks from the provided list.

Cost

6 credits per request. For PDFs, only the first three pages are sent to OCR.

Extract

Extract structured data from a document based on a user-defined field schema. Define field names, types, and optional descriptions. The AI reads the document and returns a JSON object with the extracted values.

Request

{
  "fileId": "your-file-id",
  "fields": {
    "invoiceNumber": {
      "type": "string",
      "description": "The invoice number, usually in format INV-XXXX"
    },
    "totalAmount": {
      "type": "number",
      "description": "Total amount including VAT"
    },
    "invoiceDate": {
      "type": "date",
      "description": "Date the invoice was issued"
    },
    "isPaid": {
      "type": "boolean"
    },
    "lineItems": {
      "type": "array",
      "description": "List of line items with description and amount"
    }
  },
  "pages": ["1-2"]
}

Property	Type	Required	Description
`fileId`	string	Yes	File ID of the uploaded document.
`fields`	object	Yes	Field definitions (min 1, max 30). Each key is a field name, value defines `type` and optional `description`.
`pages`	string[]	No	Page selection for PDFs (same syntax as OCR). If omitted, up to 50 pages are processed.
`webhook`	object	No	Optional webhook configuration.

Field types

Type	Description	Example value
`string`	Text value	`"INV-2026-001"`
`number`	Numeric value	`750.00`
`boolean`	True/false	`true`
`date`	Date value	`"2026-03-15"`
`array`	List of values	`[{"description": "Service A", "amount": 500}]`

Adding a description to a field helps the AI understand what to look for and significantly improves extraction accuracy.

Example result

{
  "id": "job-id",
  "action": "lens.extract",
  "status": "COMPLETED",
  "result": {
    "data": {
      "invoiceNumber": "INV-2026-001",
      "totalAmount": 750.00,
      "invoiceDate": "2026-03-15",
      "isPaid": false,
      "lineItems": [
        { "description": "Service A", "amount": 500.00 },
        { "description": "Service B", "amount": 250.00 }
      ]
    },
    "fieldsMissing": []
  }
}

Result fields

Field	Type	Description
`data`	object	Extracted values. Keys match the field names from the request.
`fieldsMissing`	string[]	List of field names that could not be found in the document (values set to `null`).

Edge cases

Field not found: The field is set to null and its name is added to fieldsMissing.
Empty document: All fields are returned as null and all field names appear in fieldsMissing.
PDF exceeds 50 pages: Only the first 50 pages are processed when no pages parameter is specified.

Cost

14 credits per page processed. For DOCX, ODT, and Markdown files, cost is 14 credits (counted as one page).

General workflow

All Lens endpoints follow the same async job pattern:

1. Upload the document

curl -X POST https://api.autype.com/api/v1/dev/tools/files/upload \
  -H "X-API-Key: YOUR_API_KEY" \
  -F "file=@document.pdf"

2. Create a Lens job

curl -X POST https://api.autype.com/api/v1/dev/tools/lens/classify \
  -H "X-API-Key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "fileId": "your-file-id",
    "categories": ["Invoice", "Contract", "Report"]
  }'

3. Poll for completion

curl https://api.autype.com/api/v1/dev/tools/jobs/{jobId} \
  -H "X-API-Key: YOUR_API_KEY"

Poll until status is COMPLETED or FAILED. Alternatively, use a webhook to receive a notification when the job finishes.

4. Read the result

The result is returned directly in the job response under the result field — there is no separate file to download. This applies to all Lens endpoints.

Unlike PDF tool jobs (merge, split, etc.), Lens jobs return structured data in the result field instead of producing an output file. You do not need to call the download endpoint.

​Endpoints

​Supported file types

​Limits

​OCR

​Output formats

​Page selection

​Example request

​Example result

​Cost

​Generate Filename

​Request

​Example result

​Cost

​Classify

​Request

​Example result

​Result fields

​Edge cases

​Cost

​Extract

​Request

​Field types

​Example result

​Result fields

​Edge cases

​Cost

​General workflow

​1. Upload the document

​2. Create a Lens job

​3. Poll for completion

​4. Read the result

Endpoints

Supported file types

Limits

OCR

Output formats

Page selection

Example request

Example result

Cost

Generate Filename

Request

Example result

Cost

Classify

Request

Example result

Result fields

Edge cases

Cost

Extract

Request

Field types

Example result

Result fields

Edge cases

Cost

General workflow

1. Upload the document

2. Create a Lens job

3. Poll for completion

4. Read the result