Tables are ubiquitous. But, they’re also completely arbitrary, hindering automation. We solved that with our Agentic Table Extractor Agent.
We’re talking about tables that are hard for even humans to interpret. Unstract’s Agentic Table Extractor can untangle information from the most complex of tables.
| Line of Business | Claims Filed | Claims Approved | Claims Denied | Total Payout ($M) |
|---|---|---|---|---|
| Auto Insurance | 1,842 | 1,654 | 128 | 4.82 |
| 923 | 856 | 42 | 2.14 | |
| 2,105 | 1,890 | 156 | 6.75 | |
| Health Insurance | 3,420 | 3,180 | 180 | 12.40 |
| 5,680 | 5,420 | 190 | 28.90 | |
| 2,150 | 2,050 | 65 | 8.20 | |
| Property Insurance | 1,240 | 1,080 | 98 | 9.80 |
| 680 | 620 | 38 | 1.20 | |
| Grand Total | 18,040 | 16,750 | 897 | 74.21 |
| FY 2025 — Actual ($K) | FY 2025 — Budget ($K) | |||||
|---|---|---|---|---|---|---|
| Revenue Stream | Q1 | Q2 | Q3 | Q1 | Q2 | Q3 |
| Software Licenses | 12,500 | 14,200 | 15,800 | 11,000 | 13,000 | 14,500 |
| Professional Services | 3,200 | 3,800 | 4,100 | 3,500 | 4,000 | 4,200 |
| Hardware (OEM) | 5,600 | 5,200 | 4,800 | 6,000 | 5,500 | 5,000 |
| Support & Maintenance | 2,100 | 2,200 | 2,350 | 2,000 | 2,100 | 2,200 |
| Total | 23,400 | 25,400 | 27,050 | 22,500 | 24,600 | 25,900 |
| What You Will Pay | |||
|---|---|---|---|
| Common Medical Event | Services You May Need | Network Provider (you pay least) | Out-of-Network (you pay most) |
| If you visit a provider's office | Primary care visit to treat an injury | $35 copay/visit, deductible does not apply | 50% coinsurance |
| Specialist visit | $50 copay/visit, deductible does not apply | 50% coinsurance | |
| If you have a test | Diagnostic test (x-ray, blood work) | $0 copay, deductible does not apply | 50% coinsurance |
| Imaging (CT/PET scans, MRIs) | 20% coinsurance | 50% coinsurance | |
Not one trick, but a pipeline — and every stage of it earns its place.
A key feature of the Agentic Table Extractor is not mere extraction, but conversion to a single schema from wide-ranging table variations. This enables you to easily process complex, unstructured data downstream.
Agentic Table Extractor uses multi-modal extraction. It uses text and images to decipher what the table actually means and then maps it to your extraction schema.
Extracted data can always be mapped back to the provenance irrespective of file format being extracted from. This is super important especially if you’re dealing with financial data.
The Agentic Table Extractor is a pipeline consisting of a team of five agents and a dynamic code generation step. This advanced architecture is one of the secrets of the very high accuracy we achieve.

The Briefing Agent

PresenceDetector

BlueprintGenerator

Content Extractor

CodeGenerator

CodeExecutor
The Agentic Table Extractor utilized advanced Presence Detection techniques to detect the location of the table you want to extract in the larger document. Avoiding the expense of processing the whole documents through the agent pipeline, we keep costs and latency low.
Tables can be long. If you've tried extracting them before, you know that they can fill up the input context window or the output context windows of LLMs easily. With the Unstract Agentic Table Extractor, we use advanced rolling window techniques to work around both and give you the full content always.
The Agentic Table Extractor can handle both PDFs and Excel files with the same efficiency and accuracy. These are the top formats that contain table data usually and you're fully covered.
Improved Operational Efficiency
Lesser Human Touchpoints
Accurate Document Extraction
Unstract adheres to the strict rules and regulations of various compliance authorities. Rest assured, we have policies, systems, and processes to ensure that your data is always safe, secure, and private.
See Unstract in action with walkthroughs of core features and real extraction workflows.
Managed cloud, on-premise, or open-source. Unstract adapts to your infrastructure needs, so choose what works best for you.
Prompt engineering Interface for Document Extraction
Prompt engineering Interface for Document Extraction
Make LLM-extracted data accurate and reliable
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Make LLM-extracted data accurate and reliable
CLI + MCP: Document extraction pipelines for batch jobs and AI agents