Docparser Extract Data From Your Business Documents

What is Docparser?

Docparser offers a robust solution for automating data extraction from a variety of business documents, including Word files, PDFs, CSVs, XLS, TXT, XML, and image files. Utilizing advanced technologies like Zonal OCR, pattern recognition, and its dedicated DocparserAI engine, it identifies and extracts crucial data points without manual intervention. The platform supports various document types such as invoices, purchase orders, bank statements, contracts, HR forms, and shipping orders.

Setting up data extraction workflows requires no coding expertise. Users can define specific parsing rules by selecting preset templates tailored to common document types or by creating custom rules from scratch. Extracted data can be easily downloaded in formats like Excel, CSV, JSON, or XML. Furthermore, Docparser integrates seamlessly with numerous cloud storage services (Dropbox, Box, Google Drive, OneDrive) and thousands of cloud applications through platforms like Zapier, Workato, and MS Power Automate, facilitating smooth data transfer into existing business systems.

Features

DocparserAI: AI engine simplifying data extraction and customizing outputs.
Zonal OCR Technology: Extracts data by visually outlining specific areas.
Advanced Pattern Recognition: Identifies data using patterns and anchor keywords.
Table Data Extraction: Defines rows and columns to pull structured table data.
Multiple File Format Support: Processes PDF, Word, CSV, XLS, TXT, XML, and image files.
Barcode & QR Code Recognition: Scans and extracts data from barcodes and QR codes.
Scanned Image Preprocessing: Cleans up scanned images by deskewing and removing imperfections.
Checkbox & Radio Button Recognition: Extracts selections from forms.
Customizable Parsing Rules: Define specific data extraction rules without coding.
Cloud Integration: Connects with cloud storage and thousands of applications via Zapier, Workato, etc.

Use Cases

Automating data entry from invoices into accounting systems.
Processing purchase order details for order management.
Converting bank and credit card statements into spreadsheet formats.
Extracting key terms and data from legal agreements and contracts.
Digitizing information from HR forms, applications, and payroll documents.
Streamlining logistics by extracting data from shipping orders and delivery notes.
Parsing product and price lists for e-commerce or POS updates.
Converting PDF form data into Excel or other structured formats.