Simple & Transparent Pricing
- Query 100 pages
- Includes 5 fields
- Includes 2 retrains
- Query upto 10000 pages
- Access upto 50,000 paid* fields
- Extract Line items
- Access Annotation services
- Includes 5 retrains
- Access unlimited paid* retrains
- Create unlimited models
- Add team members
- Access GPU Docker Image
* Extra fields and retrains (Free for Trial)
$0.01 / additonal field
$50 / retrain
- Includes all the Pro Plan features
- Dedicated Account Manager
- Custom Integrations
- Customized client onboarding
- Personalized 1-1 team training
- Multiple Licenses and Models
Compare all plans for OCR: Custom Model
Plans | Starter | Pro | Enterprise |
Monthly Cost | $0 | $499 | Custom |
Number of Documents | 100 | 10K | 50K-10B |
Price for Additional field per Document | _ | $0.01 | Custom |
Response Time | Slow | Fast | Fast |
Private Model | _ | ✔ | ✔ |
Annotations For Training | _ | 10,000/Month | Custom |
Free Retrainings | 2/Month | 5/Month | Custom |
Additional Retraining | _ | $50/Additional Retraining | Custom |
Teams Feature | _ | ✔ | ✔ |
On Prem Docker | _ | GPU Docker Image on annual plans | GPU Docker Image |
Custom Response | _ | _ | ✔ |
Guaranteed SLAs | _ | _ | ✔ |
Integration and Support | _ | _ | ✔ |
Frequently Asked Questions
What is an Operation?
An operation is counted as 1 image used on the prediction API. Images sent in a batch will be counted as multiple operations. The max image size can be 2048x2048 or 5MB. Sizes larger than these will count as multiple operations.
What is Image Labeling?
We provide Image Annotation/Labeling services on our paid plans. We will label/annotate/ocr your data depending on which model you upgrade.
How are OCR models priced?
Every category added to an OCR model will be priced at $0.01/Operation. Let's assume you've created an OCR model to detect Name, Address, DOB from Drivers Licenses. Since there are 3 categories in this model, each API call will be priced at $0.01 * 3 = $0.03/image. So if you're on the Medium plan, you'll get 99/0.03 = 3300 API calls.
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