FreeParser favicon FreeParser VS Docparser favicon Docparser

FreeParser

FreeParser offers an artificial intelligence solution designed for efficient document parsing. It employs Optical Character Recognition (OCR) and Large Language Model (LLM) technologies to accurately extract text and structured data from a variety of documents. The platform supports processing common document types such as invoices, receipts, resumes, curriculum vitae (CVs), and passports.

Users can upload files in multiple formats, including DOCX, PPTX, PDF, XLSX, JPG, PNG, BMP, TIFF, TXT, and MD. The process involves uploading documents, optionally configuring extraction settings by defining specific fields or providing custom prompts, and then reviewing the extracted data. Results are available in Raw text (from OCR), JSON, and CSV formats, facilitating easy integration and use. FreeParser aims to provide a user-friendly interface for accessible document data extraction.

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.

Pricing

FreeParser Pricing

Freemium

FreeParser offers Freemium pricing .

Docparser Pricing

Free Trial
From $39

Docparser offers Free Trial pricing with plans starting from $39 per month .

Features

FreeParser

  • Comprehensive Document Support: Handles invoices, receipts, resumes, CVs, passports, and more.
  • Versatile File Format Compatibility: Supports DOCX, PPTX, PDF, XLSX, JPG, PNG, BMP, TIFF, TXT, MD.
  • Precision OCR: Advanced OCR technology ensures accurate text extraction.
  • Intelligent AI-Powered Extraction: Uses LLM for identifying and extracting key data points.
  • Customizable Extraction: Tailor the extraction process by defining specific fields and using custom prompts.
  • User-Friendly Interface: Simple and accessible platform for parsing and data extraction.

Docparser

  • 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

FreeParser Use Cases

  • Extracting data from invoices
  • Parsing information from receipts
  • Processing resumes and CVs for applicant tracking
  • Extracting details from passports
  • Automating data entry from various scanned or digital documents

Docparser 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.

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