Azure AI Document Intelligence client library for Python - a cloud service that uses machine learning to analyze text and structured data from documents
76
Enhanced LRO poller metadata plus custom polling intervals and continuation tokens
Custom polling
40%
100%
Poller metadata
100%
100%
Continuation capture
100%
100%
Resume from token
25%
100%
Result retrieval
100%
100%
Batch document analysis over blob sources with list/get/delete batch operations
Batch request
0%
0%
Capture tokens
0%
0%
Resume status
0%
0%
List operations
0%
0%
Delete result
0%
0%
Single document analysis with prebuilt/custom models via begin_analyze_document
Client setup
60%
100%
Analyze request
72%
100%
Pages and locale
100%
100%
Query fields
40%
100%
Content format
33%
100%
Field extraction
70%
80%
Document classifier lifecycle: build, get/list/delete, copy authorization and execution
Build request setup
25%
100%
Build operation handling
100%
100%
Inspect and list
66%
80%
Copy authorization
80%
100%
Copy execution
100%
80%
Cleanup deletion
70%
80%
Document model lifecycle: build, compose, get/list/delete, resource/operation inspection
Admin client setup
100%
100%
Build request
85%
80%
Compose request
50%
25%
Model listing
100%
100%
Resource quotas
100%
100%
Deletion cleanup
80%
80%
Operation lookup
100%
100%
Direct pipeline access through send_request for custom authenticated HTTP calls
Pipeline dispatch
50%
100%
Analyze POST shape
88%
100%
Operation header
100%
100%
Markdown GET
75%
100%
PDF GET
80%
100%
Pipeline reuse
100%
100%
Retrieve analysis outputs as searchable PDFs or figure images and delete stored results
PDF retrieval
40%
72%
Figure fetch
40%
80%
Figure discovery
0%
0%
Conditional delete
90%
50%
Skip delete on failure
100%
40%
Cross-resource copy flows using model/classifier copy authorizations and pollers
Model authorization
100%
100%
Classifier authorization
100%
100%
Model copy poller
75%
60%
Classifier copy poller
75%
60%
Continuation resume
0%
0%
Batch run continuation/pagination controls and result storage prefix/overwrite options
Batch start API
100%
100%
Prefix/overwrite
100%
60%
Continuation resume
100%
95%
Pagination controls
20%
40%
Operation metadata
46%
60%
Document classification with classifier_id support for page-aware routing
Client setup
100%
100%
Classification call
33%
100%
Page filtering
100%
100%
Per-page split
100%
100%
Result parsing
75%
100%
Install with Tessl CLI
npx tessl i tessl/pypi-azure-ai-documentintelligenceTable of Contents