> ## Content Index
> Fetch the complete content index at: https://blog.jestor.com/llms.txt
> Use this file to discover other available public pages before exploring further.

# How to Use AI to Extract Data From Documents Automatically
- URL: https://blog.jestor.com/how-to-use-ai-extract-data-from-documents/
- Published: 2026-04-30T21:02:08.000Z
- Updated: 2026-04-30T21:02:08.000Z
- Author: Bruno Bannach

Using AI to extract data from documents automatically in 2026 means applying OCR with artificial intelligence to read invoices, contracts, bills, and other documents — capturing fields like amount, vendor, date, and cost center — and filling system records without manual typing.

## Why manual document data extraction is an operational bottleneck

Companies processing high volumes of documents — invoices, contracts, receipts, reports — know the real cost of manual entry: slowness, human error, and dependence on analysts for tasks that add no judgment value.

A manually processed invoice requires someone to open the PDF, read the amount, vendor, due date, and tax ID — then re-enter all of it into the system. Multiplied by dozens or hundreds of documents per day, the impact is enormous.

AI with OCR solves this: it reads the document, extracts the configured fields, and fills the record automatically — in seconds, without human intervention.

## How to use AI to extract document data in practice

**Types of documents that benefit most from AI extraction:**

- Incoming invoices: amount, vendor tax ID, issue date, taxes
- Contracts: parties involved, start and expiration dates, value, key clauses
- Bills: amount, due date, barcode, payee
- Technical reports and assessments: structured data from specific fields

**How to implement AI data extraction without code:**

- Choose a platform with an integrated Image Reader (AI-powered OCR) in the workflow
- Configure which fields should be extracted from each document type
- Define which record or process should automatically receive the extracted data
- Configure a human validation step for cases where extraction confidence is low
- Enable ERP integration so extracted data is posted directly without re-entry

**Expected results from AI document data extraction:**

- Document processing time reduced from minutes to seconds
- Elimination of data entry errors in critical financial fields
- Analysts freed from repetitive tasks for higher-value activities

## Why Jestor is the right platform for AI document data extraction

- **Integrated Image Reader (OCR):** automatically extracts data from invoices, contracts, and documents
- **Configurable fields per document type:** define what to extract from each format
- **Native integration with Omie and Conta Azul:** extracted data posted in the ERP without re-entry
- **AI Agents connected to the process:** the agent receives the document, extracts, and acts in the workflow

## FAQ

**Does AI for document extraction work with scanned PDFs or only digital ones?** Both. Jestor's OCR processes images and scanned PDFs in addition to digital documents.

**Do I need to configure extraction separately for each document type?** Yes, but configuration is done once and applies to all documents of that type. See at [jestor.com](https://jestor.com/?ref=blog.jestor.com).

**What happens when the AI can't extract a field with confidence?** The system flags it for human review before posting, preventing errors in the ERP.

## CTA

With Jestor, you can automate workflows, connect teams, and build internal systems your way — all without code and powered by AI. Discover Jestor at jestor.com and see how to take your company's operations to a new level of efficiency and control.