Receiptli uses AI document extraction to turn invoices, forms, resumes, emails, PDFs, and other unstructured documents into accurate, structured data. Review extracted fields, map them to your schema, and automate workflows through the web app, API, or exports, without rigid templates or manual rules.


Receiptli auto-extracts fields and highlights low-confidence areas for quick review. Map fields to your schema with one click.
Account Holder
John Smith
Bank
First National Bank
Tax
$5.40
Total
$86.4















Your time
Every invoice manually entered, every PDF checked field by field, and every form copied into another system adds unnecessary work to your operations. As document volumes grow, so do processing delays, data-entry errors, and the cost of keeping workflows moving.
AI document processing reduces that manual workload by turning incoming documents into structured data your systems and teams can use immediately.
invoice_10482.pdf
INVOICE
AI extracting fields
Vendor
Acme Supplies
Invoice #
INV-10482
Date
15 May 2026
Total
$1,284.00
Unstructured PDF → structured data in seconds







Receiptli turns unstructured documents into clean, structured data without relying on fixed templates or rigid layouts. From invoices and forms to resumes, PDFs, and emails, the platform identifies the information you need and prepares it for immediate use.With AI document processing and automated document data extraction, teams can reduce manual entry, review important fields, connect data to existing systems, and trigger workflows through APIs or standard exports such as JSON and CSV.
Process invoices, medical forms, resumes, research papers, PDFs, scans, and emails in one place. Receiptli handles different document formats and changing layouts without requiring fixed templates.
Use AI document extraction to identify text, key fields, and important values across structured and unstructured documents. Receiptli understands document context and layout variations to produce accurate, usable data.
Process sensitive business, medical, and financial documents with enterprise-grade security. Receiptli supports encrypted document processing, access controls, and compliance-focused workflows for teams handling sensitive data.
Connect Receiptli directly to your applications with a flexible document extraction API. Send documents programmatically and receive structured JSON or CSV outputs ready for integrations, workflows, and automation.

Upload five or dog in PDF, image, or ZIP—or call via API with a single POST request.

Receiptli auto-extracts fields and highlights key confidence areas for quick review. Map fields to your schema with one click.

One Export (CSV, JSON, XML) or let webhooks push data straight to your CRM. Click or data warehouse. Set it once—Receiptli keeps it flowing.
Faster Document Processing Cycles
Cost Savings vs. Manual Entry & Rule-Based OCR
Uptime SLA With Enterprise Support
Go beyond data extraction with automated document workflows that act on the information Receiptli extracts. Validate fields, apply conditions, route exceptions, send tailored notifications, and trigger next steps automatically based on your own schema and business rules.Build workflows once, then let Receiptli process each incoming document and take the right action in real time.
📄
Template · Trigger
Invoice uae
4 schema fields
Workflow starts here
⚡
Condition
If: QTY
"QTY" : is!
✓
YES
✗
NO
NO → FLAGGED
⚙️
Custom
⚠ LOW QUANTITY
To ops-team@company.com
Sub ⚠️ Invoice Flagged — Low QTY
Quantity detected
8 units (min: 11)
Hold Order · Notify Team
⚡
Condition
If: Plate
"Plate" · contains
✓
YES
✗
NO
NO → FLAGGED
⚙️
Custom
⚠ PLATE MISMATCH
To logistics@company.com
Sub 🚫 Wrong Plate Detected
Plate value
Format unrecognised
Flag Delivery · Reroute
⚡
Condition
If: Brand
"Brand" · contains
✓
YES
✗
NO
NO → FLAGGED
⚙️
Custom
⚠ UNKNOWN BRAND
To compliance@company.com
Sub ❓ Unapproved Brand Found
Brand
Not on approved list
Block Supplier · Alert Team
✉️
Send Email · Approved
To receiptliuser@yopmail.com
✅ Invoice UAE — Approved
QTY
Valid
Plate
Matched
Brand
Approved
✅ Invoice Dispatched — All Clear
📄
Template · Trigger
Invoice uae
4 schema fields
Workflow starts here
⚡
Condition
If: QTY
"QTY" : is!
✓
YES
✗
NO
⚙️
Custom
⚠ LOW QUANTITY
To
ops-team@company.com
Sub
⚠️ Invoice Flagged — Low QTY
Quantity detected
8 units (min: 11)
Hold Order · Notify Team
⚡
Condition
If: Plate
"Plate" · contains
✓
YES
✗
NO
⚙️
Custom
⚠ PLATE MISMATCH
To
logistics@company.com
Sub
🚫 Wrong Plate Detected
Plate value
Format unrecognised
Flag Delivery · Reroute
⚡
Condition
If: Brand
"Brand" · contains
✓
YES
✗
NO
⚙️
Custom
⚠ UNKNOWN BRAND
To
compliance@company.com
Sub
❓ Unapproved Brand Found
Brand
Not on approved list
Block Supplier · Alert Team
✉️
Send Email · Approved
To
receiptliuser@yopmail.com
Sub
✅ Invoice UAE — Approved
QTY
Valid
Plate
Matched
Brand
Approved
✅ Invoice Dispatched — All Clear
Conditions fire the instant a document is uploaded — zero manual trigger needed.
A tailored email is dispatched on every outcome — approved, flagged, or rerouted.
Rules, recipients, and actions are all driven by your own schema fields.
Use Cases
From invoices and financial documents to healthcare forms, contracts, and business records, Receiptli helps teams extract structured data, automate repetitive processing, and connect documents to their existing workflows.
Extract invoices, purchase orders, and receipts into structured data to automate accounting workflows and reduce manual entry.
Learn moreConvert shipping documents, delivery notes, and supplier records into structured data for faster logistics operations.
Learn moreProcess medical forms, reports, and healthcare documents to extract valuable information and support automated workflows.
Learn moreExtract key information from contracts, agreements, and NDAs to simplify document review and compliance processes.
Learn moreAutomatically extract candidate and employee information from resumes and HR documents to streamline recruitment workflows.
Learn moreIntegrate Receiptli’s AI document processing capabilities directly into your applications with a flexible data extraction API. Send invoices, PDFs, forms, and other documents programmatically, and receive structured JSON or CSV outputs ready for automation.Use the web app for managing document workflows, or connect through the API to scale document processing across your products and systems.
No code required to start. API is optional—add it when you need it.
Web App + API, Always in Sync
Manage document processing workflows without writing code. Review extracted data, configure extraction rules, resolve exceptions, and keep your document operations running smoothly from one platform.
Review and validate extracted document data
Configure document processing workflows and schemas
Monitor extraction accuracy and processing status
Manage access with roles, permissions, and audit logs
Integrate Receiptli’s document extraction capabilities directly into your applications. Send documents programmatically, receive structured data, and automate document workflows at scale through a flexible API.
Embed AI document extraction into your applications
Process PDFs, images, invoices, and emails automatically
Receive structured outputs through API and webhooks
Build automated document workflows with REST API integrations
Ship document and invoice OCR features faster by using the web app for ops while your team integrates the extraction API.
Cut manual data entry costs—developers handle API integration while operations runs text extraction and document workflows.
Scale AI data extraction with compliance, logs, alerts, and observability built for high-volume document processing.
Stay informed with our latest articles on document processing, automation, and business insights.
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Netherlands
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AI data extraction is the process of using machine learning models to extract meaningful information from unstructured documents. Unlike rule-based systems, AI data extraction adapts to different layouts and formats, enabling consistent generation of structured data from documents and emails.
A document parser extracts and organizes text from files based on structure, while AI data extraction uses machine learning to understand context and meaning within documents. Traditional parsers rely on fixed rules or layouts, whereas AI data extraction adapts to varying formats and converts unstructured documents into structured data more accurately.
AI improves text extraction by understanding document context rather than relying on templates or predefined positions. This allows an AI document processing platform to handle different layouts, scanned files, and inconsistent formats while delivering reliable structured data at scale.
AI data extraction supports a wide range of documents including invoices, receipts, forms, resumes, PDFs, scanned images, and emails. An AI-powered document parser can process both structured and unstructured documents across industries without requiring manual configuration.
A document parser first performs text extraction using OCR or native text recognition, then analyzes document structure and context to identify relevant fields. When combined with AI, the parser converts this information into structured data that can be exported or delivered via an API.
Structured data is generated by applying AI-powered text extraction and document parsing to identify key fields, relationships, and values within documents. An AI document processing platform then outputs this data in formats such as JSON or CSV for integration into applications and workflows.
You can upload documents as PDFs, images, or photos. Our document extraction tool processes both scanned and digital files using OCR where needed and supports a wide range of structured and unstructured documents, including invoices, receipts, forms, resumes, and medical forms. Extracted data is output in structured formats such as XML, JSON, and CSV.
Yes. Doctors and medical teams can use Receiptli to extract structured data from handwritten or scanned medical forms, prescriptions, and related documents using OCR and advanced AI. This helps convert paper-based medical forms into usable digital data quickly, without manual data entry.