Staple AI — Multilingual Document Processing

Staple AI operates a Singapore-based intelligent document processing platform that achieves 98% document accuracy and 99.999% data extraction rates while processing up to 50 million documents annually per client. The company has raised $4.18M since 2019 from investors including Wavemaker Ventures and Delivery Hero Ventures, competing against established players like ABBYY and Rossum with a no-template approach supporting 300+ languages.

Staple AI

Google Cloud Partnership Drives Scale

Staple AI's platform runs on Google Cloud infrastructure, utilizing Cloud Vision API for OCR, Cloud Translation API for multilingual support, and Gemini Flash on Vertex AI for data extraction. The company demonstrated compliance capabilities by processing over 1 million documents in two days for PII redaction using Gemini Pro and Flash models. This architecture provides scalability advantages over on-premise competitors, with BigQuery and Kubernetes Engine supporting the 40-50 million documents per year per client processing volumes.

Unlike template-dependent solutions from UiPath or Microsoft, Staple AI's no-code approach differentiates it in a market where Turian.ai notes the IDP space has "matured beyond OCR engines and point extractors" toward workflow automation. The multilingual capabilities across 300+ languages position Staple AI for global enterprise deployments where competitors like Microsoft Azure AI Document Intelligence support 200+ languages.

Self-Learning Architecture Without Templates

The platform automatically classifies documents, extracts data including line items and tabular information, and matches up to five documents for comparison. Staple AI processes documents from multiple sources including Dropbox, Google Drive, email, and WhatsApp. The system improves accuracy from user feedback without requiring templates, rules, or coding — a significant advantage over traditional document classification approaches that require extensive training data.

Josh Kettlewell, Co-founder and CTO, described the Korean partnership: "API 문서를 자동으로 생성하고, API 호출 테스트까지 지원되는 플랫폼이라는 점이 인상 깊었다" (The platform that automatically generates API documentation and supports API call testing was impressive), highlighting the platform's developer-friendly approach.

Enterprise Customer Base and Market Expansion

Current deployments include Delivery Hero, Foodpanda, and ST Engineering, with customers processing several hundred to millions of documents daily across 56 countries. In November 2025, Staple signed an MOU with Korean API management platform provider 위베어소프트, integrating Staple's APIs through the OSORI APIM platform as a SaaS offering following a successful October proof-of-concept.

The platform became available through Microsoft AppSource with claims of 95%+ accuracy and 190+ language support, targeting finance and operations teams with multi-document matching capabilities. This distribution channel provides enterprise access to compete with established vendors in regulated industries.

Industry-Specific Applications

Manufacturing Invoice Processing: Manufacturing companies integrate Staple AI for automated invoice processing from suppliers. A Regional IT Manager at a Global FMCG Brand noted: "Our company was using another OCR tool that struggled to recognise 'dot-matrix' documents, however, it works perfectly with Staple AI at almost 100% accuracy", highlighting the platform's strength with challenging document formats that defeat traditional OCR technology.

Financial Document Automation: Finance departments process contracts, invoices, and financial statements through Staple AI's self-learning system. The platform classifies documents by type, extracts structured data with claimed 99.999% accuracy, maintains audit trails for SOC 2 compliance, and connects to Xero and QuickBooks through direct integrations.

Identity Verification: Organizations handle ID verification by processing passports, driver's licenses, and identity cards. Staple AI extracts personal information from documents in 200+ languages including handwritten content, validates extracted data against business rules, and processes up to 50 million documents annually per client.

Competitive Positioning

CB Insights positions Staple among competitors including Rossum, Infrrd, Hypatos, Veryfi, ABBYY, Instabase, and Docsumo. The vertical focus on manufacturing, healthcare, and retail represents a middle path between horizontal platforms like UiPath and pure-play specialists.

A Digital Innovation Director at a Global Health and Life Insurer emphasized the platform's ease of deployment: "Onboarding new document types is quick, with no-code tools and pre-trained models. Staple is a robust, user-friendly platform for efficient data extraction from semi-structured documents". This positions Staple AI against template-heavy competitors requiring extensive configuration.

Technical Specifications

Feature	Specification
AI Technology	Computer vision, machine learning, NLP, OCR
Google Cloud Stack	Cloud Vision API, Cloud Translation API, Gemini Flash on Vertex AI, BigQuery, Kubernetes Engine
Language Support	300+ languages (translation), 200+ languages (extraction with handwriting)
Document Formats	PDF, JPEG, TIFF
Document Types	Invoices, contracts, ID cards, passports, driver's licenses, data files
Processing Accuracy	Claimed 99.999% data extraction/OCR, 98% straight-through processing
Processing Speed	25X faster than manual (claimed)
Scale	50M documents/year per client, 1M+ documents in 2 days demonstrated
Training	Template-free, no coding required
Deployment	Cloud, on-premise
Integration	API, SAP Concur, Xero, QuickBooks
Access Control	SSO, RBAC, audit trails
Compliance	SOC 2 Type 2, GDPR, HIPAA
Interface	Web UI, API