Best Cloud OCR APIs for Developers 2026
If you're a developer integrating OCR into your app, you want an API with good docs, clear pricing, and pre-built models that actually work. These are the best options.
Sarah Chen
Updated March 2026 · 15 min read
What to Look For
- 1.How good are the docs? Can you get started quickly?
- 2.Is pricing clear? Is there a free tier to test with?
- 3.Are SDKs available in your language (Python, Node.js, Java, .NET)?
- 4.Do pre-built models exist for invoices, receipts, and IDs?
- 5.How fast are API responses, and how high can throughput scale?
🥇#1
Google Document AI
Best developer experience overall. Good accuracy, solid pre-built processors, and pricing that makes sense at $0.06/page.
7.6
/10Pros
- ✓$0.06/page with pay-as-you-go. No minimum commitment
- ✓Pre-built invoice, receipt, and W-2 processors that actually work well
- ✓Scales automatically within the GCP ecosystem
Cons
- ✗You need GCP knowledge to get it running. Not a click-and-go tool
- ✗Support quality varies. Don't expect the hand-holding you'd get from a dedicated vendor
- ✗Locks you into Google Cloud infrastructure
Starting at $0.06/pageRead Full Review →
🥈#2
Amazon Textract
Cheapest per-page pricing and deep AWS integration. The go-to for serverless architectures on AWS.
7.4
/10Pros
- ✓$0.0015/page for text extraction. Cheapest cloud OCR API we found
- ✓Plugs straight into S3, Lambda, and the rest of the AWS stack
- ✓Fully serverless. No infrastructure to manage or scale
Cons
- ✗Locks you into AWS. Moving to another cloud later is painful
- ✗Fewer pre-built document processors than Google Document AI
- ✗Decent support costs extra via AWS Business or Enterprise plans
Starting at $0.0015/pageRead Full Review →
🥉#3
Azure Document Intelligence
Best for Microsoft-stack developers. Strong pre-built models and first-class Power Platform integration.
7.3
/10Pros
- ✓Plugs into Azure, Power Automate, and M365 without extra work
- ✓Pre-built models for invoices, receipts, business cards, and IDs
- ✓Label-and-train UI lets you build custom models without ML knowledge
Cons
- ✗$1.50/1k pages is more expensive than Textract for basic text extraction
- ✗Locks you into Azure. Hard to move later
- ✗Support is slow unless you're on a premium Azure plan
Starting at $1.50/1k pagesRead Full Review →
#4
Nanonets
Lets you train and deploy custom models via API. More control over extraction than the big cloud provider APIs give you.
8.2
/10Pros
- ✓Custom model training needs fewer labeled examples than most competitors
- ✓Handles weird, non-standard document formats better than most tools
- ✓Pre-built models for invoices, POs, and receipts work right away
Cons
- ✗No published pricing. You have to call sales to find out what it costs
- ✗Getting the best results from custom models requires some technical know-how
- ✗Processing gets slow on complex custom models
Starting at Custom pricingRead Full Review →
#5
PDF.co
Bundles OCR with PDF merge, split, convert, and annotate. Useful when you need multiple PDF operations in one API.
5.8
/10Pros
- ✓Does more than OCR: conversion, merging, splitting, annotation all in one API
- ✓$0.02/call is cheap enough for low-volume projects
- ✓Has Zapier integration if you're not writing code
Cons
- ✗OCR accuracy is noticeably worse than Google Document AI or ABBYY
- ✗Documentation and support quality are inconsistent
- ✗Not good enough for production document processing
Starting at $0.02/callRead Full Review →
Comparison Table
| Feature | Google Document AI | Amazon Textract | Azure Document Intelligence | Nanonets | PDF.co |
|---|---|---|---|---|---|
| Overall Score | 7.6/10 | 7.4/10 | 7.3/10 | 8.2/10 | 5.8/10 |
| Starting Price | $0.06/page | $0.0015/page | $1.50/1k pages | Custom pricing | $0.02/call |
| Accuracy Score | 8.2 | 8.0 | 8.0 | 8.8 | 6.0 |
| Ease of Use | 7.0 | 7.0 | 7.2 | 7.8 | 5.5 |
| Integrations | 8.0 | 7.5 | 8.5 | 8.5 | 6.5 |
| Best For | Dev teams on GCP who need OCR baked into their cloud applications | AWS dev teams who need cheap, scalable text and table extraction | Microsoft-shop enterprises who want OCR inside their Azure/Power Platform stack | Teams with unusual document types that need custom model training | Developers who need basic OCR alongside other PDF operations in one API |
Frequently Asked Questions
Google Document AI has the best docs. Clear quickstarts, code samples in multiple languages, and an active community on Stack Overflow. AWS Textract docs are thorough but harder to navigate. Azure's docs have improved since the rebrand and are well-organized within the Azure AI services section.