SYFTLY/ answers
light estimateLast updated 2026-08-20

Microsoft Azure vs LlamaIndex

Azure Document Intelligence (Read) vs LlamaParse for ocr & document extraction. Computed from public benchmarks with dated sources; updated 2026-08-20.

Head to head
Azure Document Intelligence (Read) compared with LlamaParse per decision axis
AxisAzure Document Intelligence (Read)LlamaParseEdge
Price$1.5 per 1000 pages$3.75 per 1000 pages*—
Score———
Max pages2000——
tables✓✓—
handwriting✓✓—
JSON✓✓—

* token-/credit-priced — the headline understates real per-unit cost, so no price edge is awarded.

Strengths & caveats
Microsoft AzureBroadest language coverage for print/handwriting, Read OCR $1.50/1000 (->$0.60 above 1M), strong Layout API for tables/structure, mature prebuilt models (invoice, receipt, ID) and JSON output. No public OmniDocBench score (null); Layout/prebuilt $10/1000 and Custom Extraction $30/1000 plus $6/1000 add-ons (formula, high-res) push real cost up well beyond Read pricing.LlamaIndexFlexible parse modes tuned for RAG at a confirmed $1.25 per 1000 credits: Fast 1 credit (~$1.25/1000 pages), Cost-effective 3 credits (~$3.75/1000), Agentic 10 credits (~$12.50/1000) and Agentic Plus 45 credits (~$56.25/1000); strong markdown/JSON, tables and multimodal, 10K free monthly credits and free re-parses of the same file within a 48-hour cache window. Per-page cost swings 1x-45x by mode, so the $3.75/1000 figure (Cost-effective) is only one tier — flagged vergelijkbaar=false; layout extraction adds +3 credits per page on top. No published OmniDocBench score (null).
Sources