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deepread-form-fill

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UpdatedMay 5, 2026 at 03:05

AI-powered PDF form filling via DeepRead. Upload any PDF form + your data as JSON — AI detects fields, maps data semantically, fills the form with quality checks, returns a completed PDF. Works with scanned, non-editable forms — no AcroForm required.

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SKILL.md

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DeepRead Form Fill

You are helping a developer fill PDF forms using DeepRead's AI-powered form fill API. You know the full API and can write working integration code in any language.

Base URL: https://api.deepread.tech Auth: X-API-Key header with key from https://www.deepread.tech/dashboard or via the device authorization flow (use /setup)

What Form Fill Does

The developer provides:

A blank PDF form (any PDF — scanned, government, custom template)
Their data as JSON (e.g. {"full_name": "Jane Doe", "dob": "1990-03-15"})

DeepRead returns:

A filled PDF with data placed in the correct fields
A quality report showing what was filled, verified, and what needs human review

No field mapping, no coordinates, no configuration. The AI figures out where everything goes using visual coordinate-based filling — not AcroForm fields.

Prerequisites

You need a DEEPREAD_API_KEY. If the developer doesn't have one, use /setup to obtain one via the device authorization flow.

API Endpoints

POST /v1/form-fill — Submit a Form for Filling

Uploads a PDF form + JSON data for async processing. Returns immediately with a job ID.

Auth: X-API-Key: YOUR_KEY Content-Type: multipart/form-data

Parameter	Type	Required	Description
`file`	File	Yes	PDF form to fill
`form_fields`	JSON string	Yes	`{"field_name": "value"}` — your data to fill into the form
`webhook_url`	string	No	HTTPS URL to receive results when done
`idempotency_key`	string	No	Prevent duplicate submissions (same key = same job)
`url_expires_in`	integer	No	Signed URL expiry in seconds (default: 604800 = 7 days, min: 3600, max: 604800)

Response (200 OK):

{
  "id": "550e8400-e29b-41d4-a716-446655440000",
  "status": "queued"
}

Errors:

Status	Meaning
400	Only PDF files are supported, or invalid JSON in form_fields
401	Invalid or missing API key
429	Monthly page quota exceeded or rate limit hit

GET /v1/form-fill/{job_id} — Get Results

Poll until status is completed or failed. Recommended: poll every 5-10 seconds, processing takes 15-30 seconds.

Auth: X-API-Key: YOUR_KEY Rate limit: 20 requests per 60 seconds

Response (completed):

{
  "id": "550e8400-...",
  "status": "completed",
  "file_name": "tax_form.pdf",
  "created_at": "2025-06-15T10:00:00Z",
  "completed_at": "2025-06-15T10:00:18Z",
  "filled_form_url": "https://storage.deepread.tech/form_fill/.../filled.pdf",
  "fields_detected": 25,
  "fields_filled": 23,
  "fields_verified": 21,
  "fields_hil_flagged": 2,
  "duration_seconds": 18.3,
  "report": {
    "summary": {
      "fields_detected": 25,
      "fields_filled": 23,
      "fields_verified": 21,
      "fields_hil_flagged": 2,
      "mappings_created": 23,
      "unmapped_keys": 0,
      "adjustments_made": 3
    },
    "fields": [
      {
        "field_index": 0,
        "label": "Taxpayer Name",
        "field_type": "text",
        "page": 1,
        "value": "Jane Doe",
        "hil_flag": false,
        "verified": true
      },
      {
        "field_index": 8,
        "label": "Total Income",
        "field_type": "text",
        "page": 2,
        "value": "85000",
        "hil_flag": true,
        "verified": false,
        "reason": "Text overlaps adjacent field"
      }
    ],
    "mappings": [
      {
        "user_key": "taxpayer_name",
        "field_index": 0,
        "value_to_fill": "Jane Doe",
        "confidence": 0.95
      }
    ],
    "unmapped_user_keys": [],
    "adjustments_made": ["Field 8: reduced font size from 12pt to 8pt"],
    "qa_feedback": ["Total Income: text overlaps adjacent field"],
    "errors": []
  },
  "errors": null,
  "error_message": null
}

Response (failed):

{
  "id": "550e8400-...",
  "status": "failed",
  "error_message": "Form fill timed out after 600s"
}

Statuses: queued → processing → completed or failed

Report Details

Fields Summary

Metric	Meaning
`fields_detected`	Total form fields AI found on the PDF
`fields_filled`	Fields where your data was placed
`fields_verified`	Fields that passed visual QA (text readable, positioned correctly)
`fields_hil_flagged`	Fields needing human review (AI couldn't fully verify)

Typical result: 90-95% of fields verified, 2-5% flagged for review.

HIL Flags (Human-in-the-Loop)

A field gets hil_flag: true when:

Text overlaps an adjacent field
Font had to be shrunk significantly
Value doesn't visually match field expectations
Repair attempts didn't fully resolve the issue

Each flagged field includes a reason explaining why review is needed.

Unmapped Keys

If your JSON has keys that don't match any form field, they appear in unmapped_user_keys. This means the form doesn't have a matching field, or the field label is ambiguous.

Webhooks

Pass webhook_url when submitting a form to get notified on completion.

Completed payload:

{
  "job_id": "550e8400-...",
  "status": "completed",
  "created_at": "2025-06-15T10:00:00Z",
  "completed_at": "2025-06-15T10:00:18Z",
  "result": {
    "filled_form_url": "https://storage.deepread.tech/form_fill/.../filled.pdf",
    "fields_detected": 25,
    "fields_filled": 23,
    "fields_verified": 21,
    "fields_hil_flagged": 2,
    "report": { }
  }
}

Failed payload:

{
  "job_id": "550e8400-...",
  "status": "failed",
  "created_at": "2025-06-15T10:00:00Z",
  "completed_at": "2025-06-15T10:00:18Z",
  "error": "Form fill timed out after 600s",
  "errors": ["Form fill timed out after 600s"]
}

Important:

Webhooks are NOT authenticated — always fetch the canonical result via GET /v1/form-fill/{job_id} with your API key
Must be HTTPS
Return 2xx to confirm delivery
Make your endpoint idempotent (may receive duplicates)

How It Works

Upload PDF + JSON data
       │
       ▼
┌──────────────────────┐
│ 1. DETECT FIELDS     │  Vision AI scans every page, finds all fillable areas
│    (visual, not PDF   │  Returns: label, type, page, bounding box coordinates
│     form fields)      │
└──────────┬───────────┘
           ▼
┌──────────────────────┐
│ 2. MAP DATA          │  AI semantically matches your JSON keys → form fields
│    "full_name" →     │  Transforms values: splits names, formats dates,
│    "Full Name" field  │  converts checkboxes, adds currency symbols
└──────────┬───────────┘
           ▼
┌──────────────────────┐
│ 3. FILL FORM         │  Places text at visual coordinates on the PDF
│    coordinate-based   │  Handles: text, checkboxes, dropdowns
│    insertion          │
└──────────┬───────────┘
           ▼
┌──────────────────────┐
│ 4. QA CHECK          │  Vision AI re-reads the filled form to verify:
│    visual verify      │  - Text is readable, not cut off
│                       │  - Positioned correctly, no overlaps
└──────────┬───────────┘
           ▼
┌──────────────────────┐
│ 5. REPAIR (if needed)│  Auto-fixes: shrink font, adjust position, remap
│    per-field fixes    │  If repair fails → flag for human review (hil_flag)
└──────────┬───────────┘
           ▼
      Filled PDF + Report

Code Examples

Python

import requests
import time
import json

API_KEY = "sk_live_YOUR_KEY"
BASE = "https://api.deepread.tech"

# Submit form + data
form_data = {
    "full_name": "Jane Doe",
    "date_of_birth": "03/15/1990",
    "ssn": "123-45-6789",
    "address": "123 Main St, Portland OR 97201"
}

with open("application.pdf", "rb") as f:
    resp = requests.post(
        f"{BASE}/v1/form-fill",
        headers={"X-API-Key": API_KEY},
        files={"file": f},
        data={"form_fields": json.dumps(form_data)}
    )
job_id = resp.json()["id"]

# Poll for results
while True:
    time.sleep(5)
    result = requests.get(
        f"{BASE}/v1/form-fill/{job_id}",
        headers={"X-API-Key": API_KEY}
    ).json()

    if result["status"] in ("completed", "failed"):
        break

if result["status"] == "completed":
    print(f"Download: {result['filled_form_url']}")
    print(f"Fields: {result['fields_filled']}/{result['fields_detected']} filled")
    print(f"Verified: {result['fields_verified']}, Flagged: {result['fields_hil_flagged']}")

    # Check flagged fields
    for field in result["report"]["fields"]:
        if field["hil_flag"]:
            print(f"REVIEW: {field['label']} = {field['value']} ({field.get('reason')})")
else:
    print(f"Failed: {result.get('error_message')}")

JavaScript / Node.js

import fs from "fs";

const API_KEY = "sk_live_YOUR_KEY";
const BASE = "https://api.deepread.tech";

// Submit form + data
const form = new FormData();
form.append("file", fs.createReadStream("application.pdf"));
form.append("form_fields", JSON.stringify({
  full_name: "Jane Doe",
  date_of_birth: "03/15/1990",
  ssn: "123-45-6789",
  address: "123 Main St, Portland OR 97201"
}));

const { id: jobId } = await fetch(`${BASE}/v1/form-fill`, {
  method: "POST",
  headers: { "X-API-Key": API_KEY },
  body: form
}).then(r => r.json());

// Poll for results
let result;
do {
  await new Promise(r => setTimeout(r, 5000));
  result = await fetch(`${BASE}/v1/form-fill/${jobId}`, {
    headers: { "X-API-Key": API_KEY }
  }).then(r => r.json());
} while (!["completed", "failed"].includes(result.status));

if (result.status === "completed") {
  console.log("Download:", result.filled_form_url);
  console.log(`Fields: ${result.fields_filled}/${result.fields_detected} filled`);
  console.log(`Verified: ${result.fields_verified}, Flagged: ${result.fields_hil_flagged}`);
} else {
  console.log("Failed:", result.error_message);
}

cURL

# Submit form + data
curl -X POST https://api.deepread.tech/v1/form-fill \
  -H "X-API-Key: YOUR_KEY" \
  -F "file=@application.pdf" \
  -F 'form_fields={"full_name": "Jane Doe", "date_of_birth": "03/15/1990", "address": "123 Main St, Portland OR 97201"}'

# Poll for results (use job_id from response)
curl https://api.deepread.tech/v1/form-fill/JOB_ID \
  -H "X-API-Key: YOUR_KEY"

# With webhook and idempotency
curl -X POST https://api.deepread.tech/v1/form-fill \
  -H "X-API-Key: YOUR_KEY" \
  -F "file=@tax_form.pdf" \
  -F 'form_fields={"taxpayer_name": "Jane Doe", "ssn": "123-45-6789", "filing_status": "Single"}' \
  -F "webhook_url=https://your-app.com/webhooks/form-fill" \
  -F "idempotency_key=submission-abc-123"

Idempotency

Prevent duplicate submissions with idempotency_key. If you submit the same key twice, the second request returns the existing job instead of creating a new one.

# First request — creates a new job
curl -X POST https://api.deepread.tech/v1/form-fill \
  -H "X-API-Key: YOUR_KEY" \
  -F "file=@form.pdf" \
  -F 'form_fields={"name": "Jane"}' \
  -F "idempotency_key=submission-abc-123"
# → {"id": "<job_id>", "status": "queued"}

# Retry with same key — returns the SAME job
curl -X POST https://api.deepread.tech/v1/form-fill \
  -H "X-API-Key: YOUR_KEY" \
  -F "file=@form.pdf" \
  -F 'form_fields={"name": "Jane"}' \
  -F "idempotency_key=submission-abc-123"
# → {"id": "<same job_id>", "status": "queued"}

Troubleshooting

Error	Fix
400 "Only PDF files are supported"	Upload a `.pdf` file. Other formats are not yet supported.
400 "Invalid JSON in form_fields"	Must be a valid JSON object: `{"name": "Jane"}`, not an array or string.
429 "Monthly page quota exceeded"	Upgrade to Pro or wait until next billing cycle.
Status "failed" with "Vision model timeout"	Form is very complex or has many pages. Try splitting into smaller sections.
Fields not mapped correctly	Use descriptive JSON keys: `"applicant_full_name"` not `"field1"`. The AI uses key names to match fields.
Fields flagged for review	Expected for 2-5% of fields. Check `report.fields` for the `reason` on each flagged field.

Rate Limits

Plans:

Plan	Pages/month	Price
Free	2,000	$0 (no credit card)
Pro	50,000	$99/mo
Scale	Custom	Custom

Help the Developer

No API key yet → use /setup for the device authorization flow
Fill a form → POST /v1/form-fill, show code in their language
Check results → GET /v1/form-fill/{job_id}, explain the report
Flagged fields → filter by hil_flag, explain reason, suggest fixes
Unmapped keys → check unmapped_user_keys, suggest better key names
Real-time updates → set up webhook_url, build receiver endpoint
Batch processing → loop over data, use idempotency_key per submission
Hitting errors → check API key, plan limits, file format, JSON validity

name	deepread-form-fill
description	AI-powered PDF form filling via DeepRead. Upload any PDF form + your data as JSON — AI detects fields, maps data semantically, fills the form with quality checks, returns a completed PDF. Works with scanned, non-editable forms — no AcroForm required.
allowed-tools	Bash, Read, Write
user-invocable	true

deepread-form-fill

More from this repository

More from this repository

DeepRead Form Fill

What Form Fill Does

Prerequisites

API Endpoints

POST /v1/form-fill — Submit a Form for Filling

GET /v1/form-fill/{job_id} — Get Results

Report Details

Fields Summary

HIL Flags (Human-in-the-Loop)

Unmapped Keys

Webhooks

How It Works

Code Examples

Python

JavaScript / Node.js

cURL

Idempotency

Troubleshooting

Rate Limits

Help the Developer

DeepRead Form Fill

What Form Fill Does

Prerequisites

API Endpoints

POST /v1/form-fill — Submit a Form for Filling

GET /v1/form-fill/{job_id} — Get Results

Report Details

Fields Summary

HIL Flags (Human-in-the-Loop)

Unmapped Keys

Webhooks

How It Works

Code Examples

Python

JavaScript / Node.js

cURL

Idempotency

Troubleshooting

Rate Limits

Help the Developer