Documentation Index
Fetch the complete documentation index at: https://docs.deepxl.ai/llms.txt
Use this file to discover all available pages before exploring further.
The Parsing Model extracts and parses structured data from IDs and documents — names, dates, addresses, amounts, and more.
Available Models
| Model | Use Case | Supported File Types |
|---|
light | Parsing light model. Data extraction is aimed at Driver License, State ID, Residency Permit, Social Security Card, Military ID | jpg, jpeg, png, webp, pdf |
performance | Parsing performance model. Data extraction is aimed at bank statements, US pay stubs, and common government-issued IDs (for example driver licenses) | jpg, jpeg, png, webp, pdf |
Retrieve the full list of models programmatically:
curl https://api.deepxl.ai/v1/parsing-models \
-H "x-api-key: YOUR_API_KEY"
Parsing a Document
Submit a file for parsing via POST /v1/parse:
curl -X POST https://api.deepxl.ai/v1/parse \
-H "x-api-key: YOUR_API_KEY" \
-F "model=light" \
-F "file=@drivers_license.jpg" \
-F 'tags={"customerId":"9999","customerName":"Acme Corp","documentId":"DOC-001","companyName":"DeepXL","companyId":"COMP-001"}'
Parameters
| Parameter | Type | Required | Description |
|---|
model | string | Yes | light or performance |
file | file | Yes | The document to parse (max 50MB) |
tags | string | No | JSON object with metadata key-value pairs |
country | string | No | Optional country hint. Supported values: us, mx, br. Missing, empty, or invalid values default to us. |
Country Hint Behavior
Use the optional country parameter when you want to steer parsing toward a specific supported market.
- Supported values:
us, mx, br
- Matching is case-insensitive
- Leading and trailing whitespace is ignored
- Missing, empty, or invalid values fall back to
us
The request value is treated as a routing hint. It is normalized before the request is forwarded downstream, and the normalized value is returned as country in the parse response metadata.
Example:
curl -X POST https://api.deepxl.ai/v1/parse \
-H "x-api-key: YOUR_API_KEY" \
-F "model=performance" \
-F "file=@bank_statement.pdf" \
-F "country=br" \
-F 'tags={"customerId":"9999","customerName":"Acme Corp","documentId":"DOC-2024-042","companyName":"DeepXL","companyId":"COMP-001"}'
Response Structure
{
"result": {
"parseId": 123,
"mediaType": "image",
"fileType": "jpeg",
"fileName": "drivers_license.jpg",
"fileSize": 231433,
"timestamp": 1770984134,
"timestampISO": "2026-02-13T13:02:14.833162",
"model": "light",
"modelVersion": "1.2.0",
"documentType": "idDocument",
"parsedData": {
"firstName": "JOHN",
"lastName": "DOE",
"dateOfBirth": "1990-05-15",
"licenseNumber": "D1234567",
"expirationDate": "2028-05-15",
"address": "123 MAIN ST ANYTOWN, CA 90210"
},
"tags": [
{ "name": "customerId", "value": "9999" },
{ "name": "customerName", "value": "Acme Corp" },
{ "name": "documentId", "value": "DOC-001" },
{ "name": "companyName", "value": "DeepXL" },
{ "name": "companyId", "value": "COMP-001" }
],
"files": [
{
"category": "original_file",
"fileName": "drivers_license.jpg",
"fileSize": 231433,
"contentType": "image/jpeg",
"timestamp": 1770984134,
"timestampISO": "2026-02-13T13:02:14.833162",
"url": "https://api.deepxl.ai/v1/files/parse_123_drivers_license.jpg"
}
]
}
}
Field Reference
| Field | Type | Description |
|---|
parseId | integer | Unique identifier for the parse record |
mediaType | string | Media type category (image or document) |
fileType | string | File extension (jpeg, png, pdf, webp) |
fileName | string | Original uploaded file name |
fileSize | integer | File size in bytes |
timestamp | integer | Unix timestamp of the analysis |
timestampISO | string | ISO 8601 timestamp of the analysis |
model | string | Model used (light or performance) |
modelVersion | string | Version of the model used for analysis |
documentType | string | Identified document type (e.g. idDocument, bankStatement.us, payStub.us) |
parsedData | object | Extracted key-value pairs (fields vary by document type) |
tags | object[] | Metadata tags attached to this parse |
files | object[] | Associated files (original upload) |
Understanding Results
Document Type
The documentType field identifies the parsed document type (for example idDocument, bankStatement.us, or payStub.us).
Parsed Data
The parsedData object contains the extracted key-value pairs. The fields depend on the document type.
ID Documents (light model):
| Field | Description |
|---|
firstName | First name |
lastName | Last name |
dateOfBirth | Date of birth (YYYY-MM-DD) |
licenseNumber | License or document number |
expirationDate | Document expiration date (YYYY-MM-DD) |
address | Full address |
performance model document types:
The extracted fields vary by document type. The current set is idDocument, bankStatement.us, and payStub.us.
Attach metadata to organize your parsing results:
curl -X POST https://api.deepxl.ai/v1/parse \
-H "x-api-key: YOUR_API_KEY" \
-F "model=performance" \
-F "file=@bank_statement.pdf" \
-F 'tags={"customerId":"9999","customerName":"Acme Corp","documentId":"DOC-2024-042","companyName":"DeepXL","companyId":"COMP-001"}'
Filter your parse history:
curl "https://api.deepxl.ai/v1/parse?tagFilter=customerId=9999" \
-H "x-api-key: YOUR_API_KEY"
Browsing History
Retrieve paginated parsing results:
curl "https://api.deepxl.ai/v1/parse?limit=25&offset=0&sortBy=parseId&direction=desc" \
-H "x-api-key: YOUR_API_KEY"
Sort Options
parseId, mediaType, fileType, fileName, fileSize, confidence, documentType, timestamp