Receiptli uses AI-powered text extraction to convert invoices, forms, resumes, and emails into structured data you can use instantly. No templates, no manual rules — just clean outputs delivered via API or export.


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






















Receiptli is an AI document processing platform designed to extract text and convert unstructured documents into structured data you can use instantly. Our purpose is to eliminate manual data entry by providing accurate AI data extraction from documents and emails, without relying on brittle templates or fixed layouts. Using an intelligent document parser, Receiptli processes invoices, forms, resumes, PDFs, and emails, then delivers clean, machine-ready outputs via API for document extraction or standard exports such as JSON and CSV. This allows teams to automate workflows, integrate with existing systems, and scale document processing with confidence.
Process invoices, medical forms, resumes, research papers, PDFs, scanned files, and emails using a single AI document processing platform designed to handle diverse formats without templates.
Extract text and key fields with high accuracy using advanced AI data extraction models that understand document context, layout variation, and unstructured content across multiple document types.
Built with enterprise-grade security, Receiptli ensures encrypted document processing and supports compliance-focused workflows, making it suitable for sensitive data such as medical and financial documents.
Integrate document parsing directly into your applications using a flexible API for document extraction.Send files programmatically and receive structured outputs in JSON or CSV, ready for 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
Receiptli enables organisations to automate document-centric operations through schema-driven AI workflows — extracting structured data, validating fields, routing exceptions, and triggering tailored emails and actions automatically. Scroll to watch a live workflow build, step by step.
📄
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.
Extract structured data from documents with AI-powered document parsing, invoice OCR, and text extraction. Use the web app to run workflows, or integrate our API when you need automation at scale.
No code required to start. API is optional—add it when you need it.
Web App + API, Always in Sync
Manage AI data extraction day to day without writing code—review documents, tune invoice OCR, and keep text extraction workflows under control.
Configure document and invoice OCR extraction settings
Monitor document flow and extraction accuracy
Resolve exceptions and reprocess failed documents
Control access with roles, permissions, and audit logs
Integrate our AI data extraction API into your product—send documents programmatically and receive structured text extraction results.
Embed document parsing and invoice OCR into your stack
Send PDFs, images, and emails for automated extraction
Receive parsed data via webhook endpoints
Automate end-to-end workflows with our REST API
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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3447 GZ Woerden
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.