Sold by: SimplifyNext
Deployed on AWS
Quick Launch
AWS Free Tier
Streamline document processing with AI-powered APIs that classify certificates, extract financial data, and validate student credentials. Secure, serverless solution hosted on AWS with presigned URLs for direct file uploads. Ready to integrate with simple API calls. More AI document processing capabilities coming soon.
Overview
Streamline Document Processing with AI-Powered APIs
Introducing AWS API Workbench: a secure, serverless SaaS solution hosted entirely on AWS infrastructure, designed to automate document analysis across multiple domains. Transform your document processing workflows with intelligent AI-powered APIs that leverage advanced reasoning LLMs for decision-making.
Our solution empowers organizations to automate document classification, data extraction, and validation tasks through simple API calls. Convert complex document processing tasks into streamlined workflows within minutes using multi-step AI reasoning and validation.
Current Capabilities:
(1) Certificate Classification
- Intelligent classification of certificates and credentials
- Support for academic, professional, and industry certifications
- High-accuracy document type detection
(2) Financial Document Analysis
- Automated extraction of financial data
- Process financial statements and reports
- Structured data output for easy integration
(3) Student Credential Validation
- Extract and verify student identification details
- Process academic transcripts with multi-agent AI validation
- Automated verification workflows
(4) Academic Results Extraction
- Extract structured data from A-Level, O-Level, and polytechnic examination results
- Process transcripts from Singapore education institutions
- Automated parsing of grades, modules, and academic performance records
Intelligent Processing Architecture:
- Advanced LLM reasoning for task-specific decision-making and classification
- RAG-like semantic search using embedding similarity for targeted information extraction from large documents
- Multi-step refinement where initial outputs are validated and improved by subsequent AI models
- Task decomposition into manageable subtasks: text extraction, embedding generation, semantic scoring, and iterative validation
- Integration with AWS Textract for document text extraction and DynamoDB for job state management
Built for Enterprise Needs:
- Serverless architecture for automatic scaling
- Secure file handling with presigned URLs
- Real-time job status tracking
- Cross-platform compatibility
Why Choose AWS API Workbench?
- Simple Integration: RESTful API with clear OpenAPI specification
- Enterprise Security:
- API key authentication
- Secure file uploads via presigned URLs
- AWS-native security controls
- Flexible Deployment:
- No infrastructure to manage
- Automatic scaling
- Pay-per-use pricing
Technical Benefits:
- Fully managed service
- Built-in error handling and retry mechanisms
- Real-time job status tracking
- Enterprise-grade security
Coming Soon:
- Additional document types and analysis capabilities
Start automating your document processing today! No infrastructure to manage, no complex setup required. Just integrate and scale.
Hosted on AWS | Serverless Architecture | Enterprise Security | Real-time Processing
Highlights
- AI-powered document analysis for certificates, financial statements, and student credentials; Transform manual verification into automated workflows
- Intelligent classification and data extraction from academic transcripts, professional certifications, and financial documents. Process documents in minutes
- Secure, serverless solution on AWS with real-time tracking; Zero infrastructure management, quick API integration with presigned URLs
Details
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Delivery method
Type
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Quick Launch
Leverage AWS CloudFormation templates to reduce the time and resources required to configure, deploy, and launch your software.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/unit |
|---|---|---|
call | Call | $0.00 |
Number of pages | Number of pages in input document | $0.00 |
Poll call | Poll call to get result | $0.00 |
Vendor refund policy
This product is currently offered at no cost during its early access phase. As there is no charge to users, no refunds are applicable.
If you have any questions or concerns about the product, please contact us at sf02@simplifynext.com .
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
API-Based Agents & Tools
API-Based Agents and Tools integrate through standard web protocols. Your applications can make API calls to access agent capabilities and receive responses.
Additional details
Usage instructions
API
AWS Marketplace Product Testing Guide
This guide provides step-by-step instructions for testing the API with sample documents.
Important Note on Result Variability
Due to the probabilistic nature of Large Language Models (LLMs), the exact content of the result field may vary slightly between runs, even with identical input documents. While the core extracted information and classifications remain consistent, specific wording in explanations or confidence scores may differ. This is expected behavior and reflects the inherent characteristics of AI-based document processing.
Prerequisites
- API Key obtained from AWS Marketplace subscription
- API Base URL: <https://your-api-gateway-url.amazonaws.com/Prod>
- HTTP client (curl, Postman, or similar)
OpenAPI Specification
Explore the full API schema interactively: OpenAPI 3.0.3 Documentation
Use this spec to generate SDKs, validate requests, or explore endpoints in tools like Postman, Swagger UI, or your preferred API client.
Usage Example: Document Processing Workflow
Step 1: Request Presigned URL
Request:
GET {{baseUrl}}/presigned?taskname=classify-cert&filename=plumber_license.png Header: x-api-key: {{API-KEY}}Response Example:
{ "url": "https://s3.ap-southeast-1.amazonaws.com/bucket-name/classify-cert/20251107_085101_859_42275cf4/plumber_license.png?X-Amz-Algorithm=...&X-Amz-Signature=...", "id": "classify-cert/20251107_085101_859_42275cf4", "expiresAt": "2025-11-07T09:01:01.888870+00:00" }Important fields:
- url: Use this to upload your file (valid for 10 minutes)
- id: Save this to query results later
- expiresAt: URL expiration timestamp
Step 2: Upload Document
Using curl:
curl --location --request PUT '{url from step 1}' \ --header 'Content-Type: image/png' \ --data-binary '@/path/to/plumber_license.png'Expected Response:
HTTP 200 OK (empty body)Note: Direct S3 upload (no API key needed). Use exact URL from Step 1 including all query parameters.
Step 3: Poll for Results
Wait a few seconds after upload, then query the result using the job ID from Step 1:
Request:
GET {{baseUrl}}/result?id=classify-cert/20251107_085101_859_42275cf4 Header: x-api-key: {{API-KEY}}Status Progression:
- PENDING: File not yet uploaded
- PROCESSING: File uploaded, being processed (poll every 3-5 seconds)
- COMPLETED: Processing finished with results
Response Example (COMPLETED):
{ "id": "classify-cert/20251107_085101_859_42275cf4", "status": "COMPLETED", "input_filename": "plumber_license.png", "created_at": "2025-11-07T08:51:01.888916+00:00", "updated_at": "2025-11-07T08:59:16.035706+00:00", "presigned_s3_url_expires_at": "2025-11-07T09:01:01.888916+00:00", "error_message": "", "file_size_bytes": "157122", "processing_duration_ms": "13921", "result": "{\"document_type\": \"PUB Plumber Licence\", \"name\": \"LIANG TEH BOON\", \"confidence_score\": 1.0, \"explanation\": \"...\", \"raw_text\": \"...\"}" }Note: Processing typically takes 10-60 seconds. The result field contains JSON with document type, confidence score, explanation, and raw text.
Support
Vendor support
For questions or feedback, please contact us at sf02@simplifynext.com .
This product is in super early access and offered at no cost. We welcome user input to help shape future improvements, but note that we cannot guarantee response times, issue resolution, or ongoing support.
Please review our documentation and API examples before reaching out. Most common questions are answered there.
No SLA. No uptime guarantees. Not intended for production use until further notice.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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