Sensible vs LlamaParse

Parsing feeds the LLM.
Sensible extracts production data.

LlamaParse turns documents into markdown and layout JSON for LLM pipelines, priced per page. Sensible returns typed fields checked against your schema, priced per document.

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Bank statement with the extracted closing_balance and a passed balance check.

Per field

Choose an LLM or deterministic method for each field

Per document

Pricing, whatever the page count

SOC 2 + HIPAA

SOC 2 Type II · BAA on Enterprise

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Technical Comparison

Sensible vs LlamaParse

Sensible is a document extraction platform where you choose a method for each field: a deterministic layout method or an LLM. It returns JSON typed to your schema, runs your validation checks, and can include the page and bounding polygon each value came from. LLM query fields return confidence signals, and pricing is per document, whatever the page count.

LlamaIndex (LlamaParse)

LlamaParse is a document parser with OCR and LLM tiers. It turns documents into markdown, text or layout JSON with bounding boxes, built to feed LLM pipelines and document agents, and charges per page in credits. Typed fields against a schema, with citations and confidence scores, come from LlamaExtract, a separate product.

What we're comparing
Sensible
LlamaIndex (LlamaParse)
The practical trade-off
Extraction Architecture
Hybrid (SenseML Layout Rules + LLMs)
OCR Plus LLM and VLM Parsing Tiers
LlamaParse sets a parsing tier for each job, while Sensible sets a layout or LLM method for each field.
Best Use Case
Production pipelines that write document data into a system of record: underwriting, claims, lending, AP, onboarding
LLM context for RAG and document agents
Different pipelines require different extraction engines and output formats.
Output Format
JSON matching your schema, plus CSV and Excel export
Markdown and layout JSON; LlamaExtract for schemas
Markdown suits retrieval, and a system of record needs typed fields checked against a schema.
Setup Speed
Describe fields in plain language on day one, or have Sensible's team build the configuration
One API call with a parse tier
Both platforms offer fast time-to-value compared to legacy OCR models.
Source Audit Trail
Page and polygon coordinates for extracted values
Item and word bounding boxes in page points
Both trace values to the page, so a reviewer can check a number against its source.
Complex Table Parsing
Layout table methods, or the NLP Table method that uses an LLM
Borderless and multi-page table options, opt-in
Both have table options, so test each on the densest statement or loss run you process.
Large Document Handling
Async files up to 6 GB, with no stated page maximum
No Parse page cap; LlamaExtract caps at 500 pages
Size limits matter for mortgage packets and long loss runs, so check them against your largest file.
Human Exception Routing
Review flags on failed checks, with status API and webhook
Review UI as a LlamaAgents template you deploy
Sensible's review screen is hosted, while LlamaIndex's review UI is a template your team deploys and runs.
Pricing Structure
Predictable flat per-document pricing
Per-page credits by tier ($0.00125 to $0.056/page)
Per-page cost grows with page count and varies by tier, so long files cost more.
Technical Architecture

The Hybrid Extraction Pipeline

A SenseML config picks a layout method or an LLM method per field. Sensible types each value, runs your checks and flags failures.

Document Ingestion
PDFs, Images, Text
SenseML Router
Rule-based orchestrator
Deterministic Engine
Spatial Anchors & Regex
Multimodal LLM Engine
Generative Interpretation
Compute
Type coercion & derived fields
Validate
JsonLogic rule checks
Human Review
Flagged docs, one-click fix
Structured Output
Typed JSON + page positions
Document Ingestion
PDFs, Images, Text
SenseML Router
Rule-based orchestrator
Deterministic Engine
Spatial Anchors & Regex
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Multimodal LLM Engine
Generative Interpretation
Compute
Type coercion & derived fields
Validate
JsonLogic rule checks
Human Review if flagged
Flagged docs, one-click fix
Structured Output
Typed JSON + page positions
Frequently Asked Questions

Technical & Architectural Details

How does Sensible catch wrong numbers in tables?
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You write validations in JsonLogic, such as a check that line items sum to the total. A value that fails comes back as a validation error or warning, and the extraction can be flagged for human review.
Can I build an extraction pipeline from a single PDF sample?
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Yes. You can start a configuration from one sample document by describing fields in plain language, then test it on more samples in development before you publish it to production.
What is the difference between per-page and per-document pricing?
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LlamaParse charges per page in credits, from $0.00125 to about $0.056 a page depending on tier, so a long document costs more than a short one. Sensible charges per document, whatever the page count.
What source coordinate format does Sensible return?
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With verbosity set in the config, each field lists its source lines with a page number and a four-point bounding polygon, in inches from the top-left corner of the page. Coordinates are off by default.
How does Sensible extract complex tables?
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Each table uses a layout method, such as Text Table or Fixed Table, or the NLP Table method, which uses an LLM. Preprocessors can strip repeated headers and footers before extraction runs.
Is Sensible SOC 2 audited, and does it sign BAAs?
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Sensible holds a SOC 2 Type II report covering a full year of operation. HIPAA is on Enterprise with a signed BAA, which can extend to smaller plans when the use case calls for it.
The Takeaway

Which One Should You Use?

LlamaParse if...
  • Semantic search and RAG indexing you need fast document-to-text conversion for chunking, LLM embeddings and context retrieval.
  • Many input file types you parse PDFs, slides, spreadsheets and images into one text format for an LLM to read.
  • Markdown for an LLM or agent your application feeds parsed text to a model or agent rather than writing fields to a database.
  • Credit-based pricing you want to choose a cheaper or more capable parsing tier per job and pay by the page.
Sensibleif...
  • Production system automation you need values typed to your schema and checked by your validations before your code writes them to a database or API.
  • Complex & non-standard documents your pipeline handles packets that must be split into documents, multi-column pages, skewed scans or handwritten forms.
  • Compliance & visual auditability you need each extracted value traced to its page and bounding polygon so a reviewer can check it against the source.
  • Predictable enterprise pricing you want one price per document, whatever its page count, with overage also billed per document.
  • Human-in-the-loop exception routing you want extractions that fail your checks sent to a hosted review screen, with a webhook when a reviewer approves them.

Try Sensible on your documents.

Bring the document your team dreads. If it works on that one, you'll know.

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