Airparser
Revolutionize data extraction with the GPT parser. Extract structured data from emails, PDFs, and documents. Export the parsed data in real-time to any app. Extract signatures, contact information, dates, and key details from human-written emails and text messages effortlessly. Digitize handwritten notes, lists, and more, transforming them into organized and actionable data. Efficiently capture amounts, dates, ordered items, and vendor details from invoices, receipts, and purchase orders. Automatically extract terms, parties involved, and critical data from contracts for simplified contract management. Gather essential details like names, contact information, and work experience from CVs and resumes seamlessly. Streamline order processing by extracting order numbers, items, and delivery details from confirmation documents.
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Mailparser
Mailparser allows you to extract data from your emails & attachments, and get structured data back however you like. Virtually eliminate manual data entry from emails and send this data nearly anywhere with webhooks, JSON, XML, or download via Excel. Automate your workflow and eliminate manual data input. In just a few minutes, you can have parsing rules set up to structure the output of your email information. Save hours of work each week & increase accuracy, whether you want to automate lead input to your CRM, or parse shipping notices, or other use cases. Data gets automatically sent to applications you already use, or is available to download. mailparser.io extracts all relevant data fields based on your custom parsing rules. Forward emails, with data trapped in their body or attachments, to our email parser. Mailparser automatically extracts data from recurring emails and stores them as structured data in Excel.
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Quantxt Theia
Extract data from scanned and digital documents. Process documents with any layout and complexity. Transform into a fully structured and machine-readable format. Process all your business documents automatically. Extract information from your scanned and digital documents into a structured format. Use the cleaned and structured data to derive a downstream process, store in a database or, simply, export into a spreadsheet. Go far beyond OCR and standard document parsing capabilities. Plain content extracted out of a document is not useful for most of the applications. It needs to be converted into a machine-readable format. Transform text and data embedded anywhere in your documents of any size and complexity into structured data. Bring scale and efficiency to your business. Automate data extraction and see the impact on your workflows immediately. Process a lot more documents without hiring more document scrubbers while eliminating human error.
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Parsebridge
Product information: Parsebridge is a PDF parsing API that transforms PDFs into clean, structured Markdown. It extracts text, tables, and data from PDF documents with a powerful API built for developers who need reliable document parsing at scale. Complex PDFs, tables, multi-column layouts, nested structures, and scanned pages are handled in one API call, turning the hard parts that usually break other parsers into Markdown you can actually use. Merged cells, nested headers, and complex layouts are parsed correctly instead of coming back garbled. Parsebridge supports live testing by pasting a PDF URL or uploading a PDF to the preview page-one Markdown without an account. It currently supports PDF files only, focusing on extraction quality for PDF documents, with files up to 100MB supported. Under the hood, Parsebridge uses Docling, an open source parser known for table extraction and layout preservation, while the platform handles infrastructure, OCR, scaling, and the API layer on top.
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