Back office ops · Production

Staple AI achieves 98% document accuracy and 99.999%+ data extraction accuracy with Google Cloud AI

The problem

Customer organizations face a considerable workload processing large volumes of documents across diverse types, languages, and formats, and Staple AI needed AI products that could meet strict accuracy SLAs and multi-language support to automate this at scale.

Workflow diagram · grounded in source
1
Document ingestion
trigger
“Its platform can ingest any type of document — such as invoices, contracts, ID cards, or data files — regardless of its language, layout, or format”
2
OCR with Cloud Vision API
ai_action
“The organization chose Cloud Vision API for its superior accuracy and native handwriting and non-Latin character processing”
3
Translation with Cloud Translation API
ai_action
“Cloud Translation API for its reputation and performance in translation”
4
Data extraction and summarization
ai_action
“Gemini Flash on Vertex AI for data extraction and summarization at scale”
5
Document classification and routing
routing
“The AI then automates the manual tasks a person would normally perform, such as categorizing and splitting documents, extracting key data, and routing them through workflows”
6
PII redaction for compliance
validation
“process over 1 million documents in two days, redacting personally identifiable information with near-100% accuracy to ensure that a financial services client met compliance requirements”
7
Business system integration
integration
“integrates them into business systems”
Reported outcome

Staple AI achieved 98% document-level accuracy and 99.999%+ data inference accuracy across tens of millions of documents per customer each year, removed PII from over 1 million documents in two days, and delivers AI-powered document processing in 300+ languages.

Reported metrics
Document level accuracy98%
Data inference accuracy99.999%+
PII documents processed in two daysover 1 million documents in two days
Languages supported300+
Show all 6 reported metrics
document level accuracy98%
data inference accuracy99.999%+
PII documents processed in two daysover 1 million documents in two days
languages supported300+
documents per customer per year (max)up to 50 million documents per year, per client
PII redaction accuracynear-100% accuracy
Reported stack
Cloud Vision APICloud Translation APIGemini FlashGemini ProVertex AIBigQueryGoogle Kubernetes EngineGoogle Workspace
Source
https://cloud.google.com/customers/staple-ai
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Staple AI achieved 98% document-level accuracy and 99.999%+ data inference accuracy across tens of millions of documents per customer each year, removed PII from over 1 million documents in two days, and delivers AI-p…

What tools did this team use?

Cloud Vision API, Cloud Translation API, Gemini Flash, Gemini Pro, Vertex AI, BigQuery, Google Kubernetes Engine, Google Workspace.

What results were reported?

Document level accuracy: 98%; Data inference accuracy: 99.999%+; PII documents processed in two days: over 1 million documents in two days; Languages supported: 300+ (source-reported, not independently verified).

How is this back office ops AI workflow structured?

Document ingestion → OCR with Cloud Vision API → Translation with Cloud Translation API → Data extraction and summarization → Document classification and routing → PII redaction for compliance → Business system integration.

Related back office ops cases