OCR (Optical Character Recognition) with world-class Google Cloud AI
Extract text and data from images and documents, turn unstructured content into business-ready structured data, and unlock valuable insights.
Integrate OCR functionalities into your applications through APIs.
OCR solutions at Google Cloud are pre-built ML models, immediately available as APIs that you can easily integrate into your applications.
Overview
What is OCR?
Optical Character Recognition (OCR) is a foundational technology behind the conversion of typed, handwritten or printed text from images into machine-encoded text.
What types of OCR does Google Cloud offer?
Google Cloud offers two types of OCR: OCR for documents and OCR for images and videos.
While they share a foundational technology, Document AI is a document understanding platform optimized for document processing. Its Custom Extractor is powered by GenAI that processes both generic and domain-specific documents with higher accuracy and faster, without the need to choose a specialized processor.
Cloud Vision, is commonly used to detect text, handwriting and a wide range of objects from images and videos.
How does OCR work at Google Cloud?
Google Cloud powers OCR with best-in-class AI. It goes beyond traditional text recognition by understanding, organizing and enriching data, ultimately generating business-ready insights.
It gives you the flexibility to either use the OCR tools as a unified suite for streamlined efficiency (e.g. Document AI), or simply call the relevant APIsdirectly available in Google Cloud console to integrate OCR functionalities into your applications.
How Google Cloud AI and OCR work together?
All the OCR solutions mentioned above give you access to pre-trained ML models that you can deploy right away through an API, or uptrain to improve accuracy for your specific needs.
You can also train your own custom models with AutoML - no machine learning expertise needed.
Check out AutoML documentation on building custom ML models.
Which OCR solution is right for me?
If you are looking to analyze a document, or build an automated document processing pipeline, use Document AI - it takes care of the entire workflow all in one place, from understanding documents to search, store, govern and manage the documents alongside extracted data.
If you want to analyze and process images, use Cloud Vision alongside other Google Cloud products for best results - check the Common Uses section for details and quickstart guides.
Both APIs are free to try with a Google Cloud account.
Compare OCR offerings
| OCR offering | Best for | Key features | |
|---|---|---|---|
General text-extraction use cases that require low latency and high capacity. | Pre-built features like image labeling, face & landmark detection, OCR, safe search. | ||
Enterprise Document OCR | Digitize text from documents (PDFs, scanned documents as images, or Microsoft DocX files). | Extract text in 200+ languages, 50 handwritten languages. Add-ons to recognize math formulas, styles, etc. | |
Document AI Workbench | Extract, classify and split any documents with generative ai (foundational models) | Custom Extractor: uses foundational models to quickly create parserswithout extensive data labeling or training. Custom classifier and document splitter for efficient processing. | |
Pretrained models | Text and field extraction from domain-specific documents. | Text extraction and digitization across a variety of procurement, lending, identity and contractual documents. |
General text-extraction use cases that require low latency and high capacity.
Pre-built features like image labeling, face & landmark detection, OCR, safe search.
Enterprise Document OCR
Digitize text from documents (PDFs, scanned documents as images, or Microsoft DocX files).
Extract text in 200+ languages, 50 handwritten languages.
Add-ons to recognize math formulas, styles, etc.
Document AI Workbench
Extract, classify and split any documents with generative ai (foundational models)
Custom Extractor: uses foundational models to quickly create parserswithout extensive data labeling or training.
Custom classifier and document splitter for efficient processing.
Pretrained models
Text and field extraction from domain-specific documents.
Text extraction and digitization across a variety of procurement, lending, identity and contractual documents.
How It Works
To understand and process documents, use Document AI.
For images, we recommend using Cloud Vision.
Both give you access to pre-trained ML models that you can deploy as-is through APIs or uptrain. You can also train your own custom models from scratch with AutoML - no ML expertise needed.
First 1000 units every month are free when you use Cloud Vision or Document OCR - try it with a simple API call.
How Cloud Vision recognizes and classifies images
Demo
See Document OCR in action with your own documents
Try the Document AI API with a simple drag-and-drop.
Common Uses
Extract text from documents with gen AI
Unlock insights from nuanced documents with Document AI
Powered by a foundational model, Document AI Custom Extractor extracts text and data from documents, generic and domain-specific, faster and with higher accuracy. Easily fine-tune with just 5-10 documents for even better performance.
If you want to train your own model, auto-label your datasets with the foundational model for faster time to production.
You can also choose to use pre-trained specialized processors - see the full list of processors.
How-tos
Unlock insights from nuanced documents with Document AI
Powered by a foundational model, Document AI Custom Extractor extracts text and data from documents, generic and domain-specific, faster and with higher accuracy. Easily fine-tune with just 5-10 documents for even better performance.
If you want to train your own model, auto-label your datasets with the foundational model for faster time to production.
You can also choose to use pre-trained specialized processors - see the full list of processors.
Customer examples
Mr. Cooper uses Google AI to speed up mortgage processing
Mr. Cooper is one of the largest home loan servicers in the country focused on delivering a variety of servicing and lending products, services and technologies to homeowners.
They built a container-based document processing pipeline with a modular architecture on Google’s OCR technology stack and achieved these results:
- Over 95% accuracy for critical documents.
- Peak throughput of 4000 pages/min, an average throughput of 2000 pages/min.
- Increased document processing efficiency by 400%.
Build an end-to-end document solution
Build a document processing and understanding pipeline
Powered by GenAI, Document AI delivers great accuracy in extracting data from documents of varying layouts and quality. You can connect it with Cloud Storage so your unstructured documents have enterprise-grade compliance. BigQuery helps batch process and analyze the extracted data any way you like. With Looker, you can easily build visualizations based on your BigQuery tables. Vertex AI Search enables you to query and search your documents in Cloud Storage, conversationally or traditionally.
It takes 60-90 minutes to set up the entire pipeline as seen, the Document AI portion takes 10 minutes.
How-tos
Build a document processing and understanding pipeline
Powered by GenAI, Document AI delivers great accuracy in extracting data from documents of varying layouts and quality. You can connect it with Cloud Storage so your unstructured documents have enterprise-grade compliance. BigQuery helps batch process and analyze the extracted data any way you like. With Looker, you can easily build visualizations based on your BigQuery tables. Vertex AI Search enables you to query and search your documents in Cloud Storage, conversationally or traditionally.
It takes 60-90 minutes to set up the entire pipeline as seen, the Document AI portion takes 10 minutes.
Image tagging, processing and search
Use Cloud Vision API and AutoML to tag and process images
Image tagging is also referred to as image labeling.
Cloud Vision API can identify and label general objects, landmarks, locations, logos, activities, animal species, products, and more in an image. Once the images are tagged with the detected labels, image search, processing and management are automated and easier.
If you need targeted custom labels, use Cloud AutoML to train a custom ML model.
To use Google OCR technologies on premise, use OCR On-Prem, available in the Cloud Marketplace.
How-tos
Use Cloud Vision API and AutoML to tag and process images
Image tagging is also referred to as image labeling.
Cloud Vision API can identify and label general objects, landmarks, locations, logos, activities, animal species, products, and more in an image. Once the images are tagged with the detected labels, image search, processing and management are automated and easier.
If you need targeted custom labels, use Cloud AutoML to train a custom ML model.
To use Google OCR technologies on premise, use OCR On-Prem, available in the Cloud Marketplace.
Additional resources
Pricing example
To run a basic image processing pipeline that detects labels as shown on the right, your monthly cost would be $27.36.
You can check the usage assumptions made to arrive at this number in the pricing calculator.
First 1,000 units per month is free.
Customer examples
AutoML helps scientists predict and track shoreline changes
Using Cloud AutoML,researchers at Texas A&M University were able to custom train a multi-labeled dataset model with 10,458 shoreline images in 24 compute hours. The model helped the researchers predict and track shoreline changes with an average accuracy of 95.2%.
AutoML provided the added flexibility in training advanced models using the training images, letting the team inspect the data and analyze the results via an intuitive UI, and providing an API for scalable serving.
Extract text from images
Extract text from images with Cloud Vision API
Through Cloud Vision API, you can detect and extract text and handwriting from any images in different languages. It also has multi-region support for which you can specify continent-level data storage and OCR processing.
You can choose to get immediate results for a small number of images (up to 16 per request), or batch process a larger number of images (up to 2000 per request) asynchronously for a result later.
How-tos
Extract text from images with Cloud Vision API
Through Cloud Vision API, you can detect and extract text and handwriting from any images in different languages. It also has multi-region support for which you can specify continent-level data storage and OCR processing.
You can choose to get immediate results for a small number of images (up to 16 per request), or batch process a larger number of images (up to 2000 per request) asynchronously for a result later.
Additional resources
Pricing example
To run a basic processing pipeline that extracts text from images as shown on the right, your monthly cost would be $27.36.
You can check the usage assumptions made to arrive at this number in the pricing calculator.
First 1,000 units per month is free.
Pricing
| How much does my use case cost? | Understand your monthly cost to solve for a use case, with products you need and key usage assumptions laid out. | ||
|---|---|---|---|
| Use case | Products used | Usage assumptions | Estimated monthly cost (USD) |
Image tagging, processing and search | Cloud Vision Cloud Storage Pub/Sub Cloud Run | 1. 15,000 Cloud Vision label detection API calls monthly 2. 100 GiB monthly storage 3. One 1.25 GiB CPU 4. Four GiB published daily through Pub/Sub | $27.36 |
Extract text and insights from documents | Document AI Cloud Storage BigQuery Cloud Functions | 1. 1,000 Document AI form parser API calls monthly 2. 100 GiB monthly storage 3. 1 TiB monthly queries 4.RAM: 512 MB, CPU: 800 MHz | $71.87 |
Extract text from images | Cloud Vision Cloud Storage Pub/Sub Cloud Run | 1. 15,000 Cloud Vision OCR API calls monthly 2. 100 GiB monthly storage 3. One 1.25 GiB CPU 4. Four GiB published daily through Pub/Sub | $27.36 |
See full unit pricing details for Document AI, Vision API and AutoML.
How much does my use case cost?
Understand your monthly cost to solve for a use case, with products you need and key usage assumptions laid out.
Image tagging, processing and search
Cloud Vision
Cloud Storage
Pub/Sub
Cloud Run
1. 15,000 Cloud Vision label detection API calls monthly
2. 100 GiB monthly storage
3. One 1.25 GiB CPU
4. Four GiB published daily through Pub/Sub
$27.36
Extract text and insights from documents
Document AI
Cloud Storage
BigQuery
Cloud Functions
1. 1,000 Document AI form parser API calls monthly
2. 100 GiB monthly storage
3. 1 TiB monthly queries
4.RAM: 512 MB, CPU: 800 MHz
$71.87
Extract text from images
Cloud Vision
Cloud Storage
Pub/Sub
Cloud Run
1. 15,000 Cloud Vision OCR API calls monthly
2. 100 GiB monthly storage
3. One 1.25 GiB CPU
4. Four GiB published daily through Pub/Sub
$27.36
See full unit pricing details for Document AI, Vision API and AutoML.
Pricing Calculator
Estimate the cost of your project by pulling in all the tools you need in a single place.
Custom Quote
Connect with our sales team to get a custom quote for your organization's unique needs.
Take the next step with OCR & Google Cloud
New customers get $300 in free credits
1000 pages/month are free with Document AI
Quickstart: detect labels with Cloud Vision API
Automate a doc processing pipeline with Google AI
