Breakthrough computer vision and natural language processing

Pre-trained from the largest industrial document datasets

To supercharge your enterprise

Photon provides a universal data capture service to breakthrough deep learning, image classification, object recognition, image processing, and natural-language processing algorithms under the hood. 

Photon's proprietary machine learning models have been trained on the largest datasets of industrial documents in the world. Its training gets smarter over time. It returns structured data from any image, document, or scan by understanding the type, spatial layout, format, and data types of each field. 

Read the API Documentation

1. Computer vision pipeline

1. ​Image quality triaging
2. Automatic thresholding
3. Boundary detection
4. Cropping regions of interest
5. Document classification
6. Structured layout comprehension
7. Object detection
8. Barcode scanning
9. Image transformations, auto-rotations
10. De-skew, affine transformations
11. Printed vs handwritten text classification
12. ​Zonal analysis
13. Cascaded, semi-supervised deep learning model
14. Pooling
15. Ensembling​​
16. Text capture
17. Signature validation
18. Cascaded case escalation
19. Structured text and barcode data output

2. Natural language processing pipeline

1. Constituency parsing
2. Semantic parsing
3. Bidirectional Recurrent Neural Networks (LSTMs)
4. Word vector space model similarity matching
5. Structured field matching
6. Data types validation
7. Domain-specific dictionary lookups
8. Spell checking
9. Selective case escalation
10. Relation extraction
11. Name matching
12. Address validation
13. Tracking # lookups
14. UPC, SKU, item lookups
15. Invoice, PO, receivables, ASN matching
16. Database queries
17. Exception handling and reconciliation
18. Data types transformations
19. Extract Transform Load
20. API integrations with WMS, ERP, IMS, DB

The Intelligent Document Processing Solution for Enterprises

1. Pre-extraction:
Performs image pre-processing to increase the quality of the scanned document, captures, data, and indexes and classifies the documents into categories

2. Extraction:
Captures relevant data leveraging Natural Language Processing for further processing

3. Post-extraction:
Validates the extracted data with the help business logic, validation rules, and enterprise databases

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