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Ratings and Reviews 0 Ratings
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What is Parsel?
Parsel is a groundbreaking extraction tool that simplifies the process of converting tabular data and text from PDFs into various formats such as Excel, CSV, or JSON. Utilizing state-of-the-art optical character recognition and machine learning technologies, our platform quickly identifies tables in your uploaded PDFs and transforms them into accurate, editable data files in mere minutes. This efficiency not only saves you countless hours of monotonous effort but also enables you to concentrate on more critical tasks while our tool manages the extraction seamlessly. With exceptional OCR and table extraction capabilities, users can engage with the system without the need for model training or additional instructions. Our serverless, scalable, and secure platform enhances the user experience to a simple drag-and-drop interaction. Furthermore, those interested in streamlining their workflows can benefit from our API integration, which allows for easy incorporation into existing systems, promoting efficient data entry and direct output to business applications without interruptions. Parsel stands out with an impressive accuracy rate of 96.6% on financial documents, guaranteeing that your data is trustworthy and requires minimal adjustments, making it a premier choice compared to other tools on the market. This remarkable accuracy not only enhances productivity but also fosters confidence in the reliability of your data. Ultimately, Parsel is designed to empower users by providing a fast, efficient, and reliable solution for data extraction challenges.
What is Doctly?
Doctly.ai is an advanced AI-powered PDF parser that excels at extracting text, tables, figures, and charts from complex documents, converting PDFs into well-structured Markdown that is ideal for a variety of AI applications and workflows. With its intelligent model selection capability, it automatically determines the best parsing strategy based on the complexity of each page, ensuring accurate results for a wide range of document types, from simple text-only PDFs to intricate multi-column layouts containing images. Furthermore, Doctly outputs organized Markdown, which simplifies its integration into numerous AI-driven platforms. Its sophisticated feature detection allows for precise identification and extraction of various structural elements within PDFs, thus improving the content for future use. Consequently, Doctly.ai stands out as a user-friendly tool for efficient PDF data extraction and processing, proving to be an essential resource for professionals managing complicated document workflows. By streamlining the extraction process, it significantly enhances productivity and reduces the time spent on manual data handling.
Integrations Supported
Axis LMS
Markdown
API Availability
Has API
API Availability
Has API
Pricing Information
$30/month
Free Trial Offered?
Free Version
Pricing Information
$0.02 per page
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
Tellimer Technologies
Date Founded
2020
Company Website
parsel.ai/
Company Facts
Organization Name
Doctly
Company Location
United States
Company Website
doctly.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
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
