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 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
Go live in minutes in the web app, no engineering required. When you need deeper control, use the API to automate and embed parsing in your product.
Web App + API, Always in Sync
Full control of extraction settings
Monitor & manage document flow
Resolve exceptions & reprocess documents
Control access with roles & logs
Deeply integrate document parsing into your product
Programmatically send documents for parsing
Set up webhook endpoints to receive parsed data
Automate end-to-end via our REST API
Leverage our web app for monitoring and admin.
Devs focus on integration; Ops run workflows.
Compliance, logs, alerts, and observability already baked in.
No code required to start. API is optional. Add it when you need it.
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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.
