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AI · February 13, 2026

HyperAPI

Financial Document Processing AI APIs That Scale

HyperAPI launched on February 13, 2026 with 50 votes, #579 of 16,628 launches that month and more than 95% of that year's launches.

What it does

Enterprise teams process millions of finance documents annually, yet most document solutions and LLMs stall near 90% accuracy due to format variability and weak semantic validation. HyperAPI offers a unified suite of finance document APIs that processes messy, multilingual and handwritten documents and outputs validated data across 30+ Finance and Accounting document types. It achieves 99.8% accuracy, sub 2s latency, 99.9% uptime and supports Python, Node.js, and REST for production use.

Document intelligence APIs by Hyperbots Inc. Upload, parse, extract, classify, split, and redact documents from dashboards, SDKs, REST APIs, and AI agents.

From parsing to intelligent workflows. Process millions of documents with production-ready APIs. Built for developers who ship fast. 01 from hyperapi import HyperAPI 02 03 client = HyperAPI (api_key= "hyper_sk_live_..." ) 04 05 # Parse an invoice 06 result = client.invoice. extract ( "invoice.pdf" ) 07 08 print (result.vendor_name) # "Acme Corp" 09 print (result.total) # 12450.00 10 print (result.line_items) # [LineItem(...), ...] 11 print (result.confidence) # 0.96 Response time: 1.2s Pages: 3 | Cost: $0.15 Production-Ready APIs Financial Document Processing APIs That Actually Work Validation-aware extraction. Not just text extraction: we understand document semantics and enforce…from apis.hyperbots.com

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