Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Parsebridge is an innovative PDF parsing API designed to convert PDFs into well-structured Markdown format. This tool efficiently extracts text, tables, and various data from PDF files, catering specifically to developers who require dependable document parsing capabilities at scale. It can adeptly manage complex PDFs, including those with intricate tables, multi-column layouts, nested structures, and scanned pages—all within a single API call, effectively transforming challenging elements that often confuse other parsers into usable Markdown. With the ability to accurately parse merged cells, nested headers, and sophisticated layouts, users can expect clear and precise outputs rather than jumbled results. Additionally, Parsebridge offers the convenience of live testing, allowing users to either paste a PDF URL or upload a document directly to the preview page to generate Markdown without the need for an account. Currently, it exclusively supports PDF files, prioritizing high extraction quality for documents up to 100MB in size. Utilizing Docling, an open-source parser renowned for its excellence in table extraction and layout preservation, Parsebridge manages the necessary infrastructure, OCR, scaling, and the API layer, ensuring a seamless user experience. This comprehensive approach makes Parsebridge a valuable tool for anyone needing reliable PDF parsing solutions.
Description
Trusted by more than 60% of the global HR Tech industry to power their solutions with outstanding resume and job parsing, Textkernel parses a staggering 2 billion resumes and job postings yearly.
Our market-leading Parser seamlessly integrates into HR systems. This revolution in your recruitment strategy automates the extraction, enrichment, and structuring of data from vast quantities of resumes in 29 languages and job postings in 9 languages.
It’s more than data: it’s unlocking the power to swiftly filter, search, rank, and match candidates with precision and ease. Textkernel’s Parser is your opportunity to save valuable recruiter time while enhancing the accuracy of candidate selection. Parse your full potential with Textkernel.
API Access
Has API
Yes
API Access
Has API
No
Screenshots View All
No images available
Integrations
Bullhorn
No
Bullhorn Connexys
No
Carerix
No
Cegid HR
No
Cornerstone Recruiting
No
Markdown
Yes
Node.js
Yes
Oracle Taleo
No
PHP
Yes
Python
Yes
Integrations
Bullhorn
Yes
Bullhorn Connexys
Yes
Carerix
Yes
Cegid HR
Yes
Cornerstone Recruiting
Yes
Markdown
No
Node.js
No
Oracle Taleo
Yes
PHP
No
Python
No
Pricing Details
$17 per month
Free Trial
No
Free Version
Yes
Pricing Details
$99
Pricing: Resume and Job Parser
Parse up to 500 documents
Parse up to 500 documents
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Parsebridge
Country
United States
Website
parsebridge.com
Vendor Details
Company Name
Textkernel
Country
Netherlands, United Kingdom, United States, Germany
Website
www.textkernel.com/products-solutions/parser/
Product Features
Data Extraction
Disparate Data Collection
No
Document Extraction
No
Email Address Extraction
No
IP Address Extraction
No
Image Extraction
No
Phone Number Extraction
No
Pricing Extraction
No
Web Data Extraction
No
Product Features
Resume Parsing
Automated Application Input
Yes
Automatic Updating
Yes
Customizable Macros
No
Data Extraction
Yes
Multi-Language
Yes
Resume Import
Yes
Resume Management
Yes
Semantic Matching
Yes
Social Media Corroboration
Yes
Sort / Filter
Yes
White Label Option
Yes