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What is Suparse?
Transforming data from any PDF or image file into Excel can be accomplished in under a minute with Suparse, which simplifies the extraction process for teams across finance, logistics, and operations sectors. Users can start seamlessly with pre-trained models tailored for various document types such as invoices, receipts, bank statements, and bills of lading, or they can quickly create custom parsers using an AI-driven schema generator. To guarantee the precision of data with lower confidence levels, a human-in-the-loop review process is implemented, allowing for the application of validation rules and the effortless export of aggregated results in multiple formats, including Excel, CSV, JSON, or via API. Collaborate in a secure setting that complies with GDPR standards, while also taking advantage of multilingual OCR features and handwriting recognition support. This all-encompassing tool not only boosts operational efficiency but also promotes teamwork among diverse groups, making it an invaluable asset for any organization. Additionally, its ability to adapt to various workflows ensures that teams can tailor the solution to meet their specific needs.
What is OpenParser AI?
OpenParser AI functions as a state-of-the-art truth repository for organizations managing large volumes of documentation, aimed at merging data from various sources like documents, databases, and online content into a secure, cohesive knowledge framework. Users can ask questions to the AI, which fetches accurate answers from their documents, databases, or websites, with each response connected to the exact location of the source material. OpenParser elevates document management with capabilities such as intuitive document Q&A, effortless database queries without requiring SQL, thorough website content searches, and cross-document insights, all while maintaining role-based access and establishing document approval workflows. It also facilitates immediate validation and produces structured outputs that teams can promptly act upon. Users can easily upload documents or link to services like Google Drive, SharePoint, SQL databases, and website URLs, featuring an auto-sync option that ensures information remains current. The OpenParser AI Engine is adept at analyzing and reasoning through all available data, primarily using Llama but allowing for integration with preferred LLMs, including choices like OpenAI, Anthropic, Gemini, and others. This powerful integration guarantees that teams have access to the most pertinent information in real-time, significantly enhancing decision-making processes and operational productivity, while also adapting to the evolving needs of organizations. Ultimately, OpenParser AI not only streamlines information retrieval but also empowers teams to harness their data more effectively.
Integrations Supported
Amazon Web Services (AWS)
Anthropic
Gemini
Gmail
Google Cloud Platform
Google Drive
HTML
Microsoft Azure
Microsoft Excel
Microsoft Outlook
Integrations Supported
Amazon Web Services (AWS)
Anthropic
Gemini
Gmail
Google Cloud Platform
Google Drive
HTML
Microsoft Azure
Microsoft Excel
Microsoft Outlook
API Availability
Has API
API Availability
Has API
Pricing Information
$19/month/250 pages
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Suparse
Date Founded
2025
Company Location
Poland
Company Website
www.suparse.com
Company Facts
Organization Name
OpenParser AI
Company Location
United States
Company Website
www.openparser.ai/
Categories and Features
Data Extraction
Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction