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What is PDFxtract?
PDFxtract streamlines the process of extracting data from PDF documents by using sophisticated AI-based OCR technology. The platform quickly and accurately captures printed text, handwritten notes, and various data points from forms, eliminating the need for manual data entry or repetitive OCR software adjustments.
With an intuitive, user-friendly interface compatible across devices, users can upload multiple PDFs, select specific data fields for extraction, and download their information in structured Excel or CSV formats. PDFxtract enables rapid and precise data extraction, saving users valuable time and facilitating seamless integration of data into analysis workflows.
Features
- AI-Powered OCR: Accurately extracts printed text and handwriting from PDFs
- Data Field Selection: Allows selection of specific fields such as invoice numbers, addresses, and dates
- Structured Output: Converts extracted data into Excel or CSV formats
- Batch Processing: Handles multiple PDF documents simultaneously
- Device Compatibility: Works seamlessly on desktop and mobile devices
- No Coding Required: User-friendly interface eliminates the need for technical expertise
Use Cases
- Extracting invoice data from bulk PDF files for accounting purposes
- Capturing handwritten form responses into structured spreadsheets
- Migrating legacy paper documents into digital databases
- Batch processing receipts and contracts for data analysis
- Streamlining administrative work by automating document data entry
FAQs
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What types of documents can PDFxtract process?
PDFxtract can process PDFs containing printed text, handwriting, and data from various forms. -
Does PDFxtract work on mobile devices?
Yes, PDFxtract is designed to function seamlessly on iPhone, Android, Chromebook, and desktop devices. -
What file formats can I export my data to?
Extracted data can be downloaded in structured Excel or CSV formats.
Related Queries
Helpful for people in the following professions
PDFxtract Uptime Monitor
Average Uptime
100%
Average Response Time
149.63 ms
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