Build automated document processing pipelines

Async submission Webhook delivery No polling or blocking
The Problem

Document processing doesn't scale with synchronous requests

When documents arrive in bulk (from email, file uploads, or storage triggers), processing them synchronously creates bottlenecks. Long-running requests time out, error handling becomes complex, and your users wait.

Scaling out with queues and workers requires significant infrastructure. What you need is an async extraction service that handles the queue, processing, and result delivery for you.

Synchronous PDF processing times out for large files

Building async queues requires significant infrastructure

Retry logic for failed jobs adds engineering complexity

Batch volumes spike unpredictably, hard to scale

The Solution

Event-driven document processing, out of the box

Parselyze handles the async queue, processing, retries, and delivery. You submit documents, receive webhooks, act on results.

01

Upload or queue documents

Submit documents via REST API or SDK as they arrive, from email, storage, or file upload.

02

Parselyze processes async

Jobs are queued and processed in the background. No blocking, no timeouts.

03

Receive webhook notification

Parselyze POSTs the result with HMAC signature to your endpoint when the job completes.

04

Push to your systems

Write the structured result to your database, trigger a workflow, or call another API.

Real Example

Webhook payload when a job completes

This is the payload Parselyze POSTs to your endpoint.

Webhook delivery

  • POST to your endpoint with the full extraction result
  • HMAC-signed via x-parselyze-signature header
  • Automatic retries on delivery failure
  • All events logged in Job History dashboard
Response time typically under 30 seconds per page
webhook_payload.json
{
  "eventId": "7c9e6679-7425-40de-944b-e07fc1f90ae7",
  "eventType": "document.completed",
  "jobId": "550e8400-e29b-41d4-a716-446655440000",
  "status": "completed",
  "result": {
    "invoice": {
      "number": "INV-2025-001",
      "date": "26/05/2025",
      "total": 1250.75,
      "vendor": "Acme Corporation"
    }
  },
  "pageCount": 5,
  "pageUsed": 5,
  "pageRemaining": 1495,
  "timestamp": "2026-01-27T10:30:45.123Z"
}

Typical pipeline use cases

Email Document Ingestion

Parse attachments received by email and automatically extract and store their data.

S3 / Storage Triggers

Trigger extraction jobs whenever a new file lands in an S3 bucket or cloud storage folder.

Batch Processing

Submit thousands of documents in bulk and process them all asynchronously via webhook.

Multi-step Workflows

Chain extraction with validation, enrichment, and routing steps in a single event-driven pipeline.

How to Integrate

A complete pipeline in under 30 lines

Submit a document, register a webhook endpoint, and receive the structured result when processing completes. Every delivery is HMAC-signed for security. No polling required.

Ready to integrate?

SDK examples, REST API reference, webhook handler, and cURL samples are all on the developer page.

Developer integration guide

Automate your document processing pipeline

50 pages/month free · No credit card required