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Getting Started

  • Introduction
  • Quickstart
  • Authentication

API Reference

  • POST /v1/extract
  • Schemas
  • Usage & Limits

Examples

  • Invoice Extraction
  • Receipt Parsing
  • Form Processing

Form Processing

Extract field-value pairs from tax forms, applications, surveys, and other structured documents. Parse identifies form fields, checkboxes, and their associated values automatically.

Form Schema

For forms with known fields, define a specific schema. For unknown forms, use a generic field-value pair approach:

Specific Form Schema (e.g., W-9 Tax Form)

{
"name": "w9_form",
"description": "Extract data from W-9 tax forms",
"fields": [
{ "name": "name", "type": "string", "description": "Name as shown on income tax return" },
{ "name": "business_name", "type": "string", "description": "Business name, if different" },
{ "name": "tax_classification", "type": "string", "description": "Federal tax classification" },
{ "name": "address", "type": "string", "description": "Street address" },
{ "name": "city_state_zip", "type": "string", "description": "City, state, and ZIP code" },
{ "name": "ssn", "type": "string", "description": "Social Security Number" },
{ "name": "ein", "type": "string", "description": "Employer Identification Number" },
{ "name": "signature_date", "type": "date", "description": "Date of signature" }
]
}

Generic Form Schema

{
"name": "generic_form",
"description": "Extract all field-value pairs from any form",
"fields": [
{ "name": "form_title", "type": "string", "description": "Title or heading of the form" },
{ "name": "form_fields", "type": "array", "description": "All fields found in the form", "items": {
"type": "object",
"fields": [
{ "name": "field_name", "type": "string" },
{ "name": "field_value", "type": "string" },
{ "name": "field_type", "type": "string" }
]
}},
{ "name": "checkboxes", "type": "array", "description": "All checkboxes found in the form", "items": {
"type": "object",
"fields": [
{ "name": "label", "type": "string" },
{ "name": "checked", "type": "boolean" }
]
}},
{ "name": "signatures", "type": "array", "description": "Signature fields detected", "items": {
"type": "object",
"fields": [
{ "name": "label", "type": "string" },
{ "name": "signed", "type": "boolean" },
{ "name": "date", "type": "date" }
]
}}
]
}

Code Examples

cURL

curl -X POST https://api-parse.conversiontools.io/v1/extract \
-H "Authorization: Bearer YOUR_API_KEY" \
-F "file=@application-form.pdf" \
-F "schema_id=YOUR_FORM_SCHEMA_ID"

Python

import requests
API_KEY = "YOUR_API_KEY"
headers = {"Authorization": f"Bearer {API_KEY}"}
with open("application-form.pdf", "rb") as f:
response = requests.post(
"https://api-parse.conversiontools.io/v1/extract",
headers=headers,
files={"file": f},
data={"schema_id": "YOUR_FORM_SCHEMA_ID"},
)
data = response.json()
print(f"Form: {data['data']['form_title']}")
for field in data["data"]["form_fields"]:
print(f" {field['field_name']}: {field['field_value']}")
for checkbox in data["data"]["checkboxes"]:
status = "checked" if checkbox["checked"] else "unchecked"
print(f" [{status}] {checkbox['label']}")

Node.js

const fs = require("fs");
const API_KEY = "YOUR_API_KEY";
const headers = { Authorization: `Bearer ${API_KEY}` };
const form = new FormData();
form.append("file", fs.createReadStream("application-form.pdf"));
form.append("schema_id", "YOUR_FORM_SCHEMA_ID");
const response = await fetch("https://api-parse.conversiontools.io/v1/extract", {
method: "POST",
headers,
body: form,
});
const data = await response.json();
console.log(`Form: ${data.data.form_title}`);
data.data.form_fields.forEach((field) => {
console.log(` ${field.field_name}: ${field.field_value}`);
});
data.data.checkboxes.forEach((cb) => {
console.log(` [${cb.checked ? "x" : " "}] ${cb.label}`);
});

Sample Output

{
"success": true,
"id": "ext_frm_001",
"data": {
"form_title": "Employee Onboarding Form",
"form_fields": [
{ "field_name": "Full Name", "field_value": "Jane Smith", "field_type": "text" },
{ "field_name": "Email", "field_value": "jane.smith@email.com", "field_type": "email" },
{ "field_name": "Phone", "field_value": "(555) 123-4567", "field_type": "phone" },
{ "field_name": "Start Date", "field_value": "2024-02-01", "field_type": "date" },
{ "field_name": "Department", "field_value": "Engineering", "field_type": "text" },
{ "field_name": "Position", "field_value": "Senior Developer", "field_type": "text" },
{ "field_name": "Emergency Contact", "field_value": "John Smith - (555) 987-6543", "field_type": "text" }
],
"checkboxes": [
{ "label": "I agree to the terms and conditions", "checked": true },
{ "label": "I have read the employee handbook", "checked": true },
{ "label": "I opt in to the dental plan", "checked": false },
{ "label": "I opt in to the vision plan", "checked": true }
],
"signatures": [
{ "label": "Employee Signature", "signed": true, "date": "2024-01-25" }
]
},
"pages_used": 2,
"confidence": 0.92
}

Tips for Form Processing

  • Use a specific schema when you know the form layout for higher accuracy
  • Checkboxes are detected automatically — both filled and empty states are captured
  • Signature detection identifies whether a field has been signed, not the signature content
  • Multi-page forms are supported — each page is processed and data is merged into a single result