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What is Parsie?

Parsie is an advanced AI-driven document parsing tool that adeptly extracts crucial information from a variety of formats such as PDFs, Word documents, images, and emails, all while maintaining a high degree of accuracy. This innovative solution is especially useful for managing resumes, invoices, contracts, and reports, as it streamlines the often laborious manual data entry process, allowing companies to improve their operational efficiency and save precious time. Operational Process ✅ Upload – Simply drag and drop your PDFs, Word documents, or images into the user-friendly interface. ✅ AI Extraction – Our cutting-edge AI technology automatically detects and extracts significant information. ✅ Export & Integrate – Access the organized data in formats like CSV and JSON, or connect it through API, Google Sheets, or Zapier. Key Features 🔹 AI-Powered OCR – Effectively reads and pulls text from scanned documents and images. 🔹 Custom Extraction Rules – Easily define the specific data you want to extract, with no programming knowledge required. 🔹 Schema Generation – The AI offers structure recommendations based on the data you extract. 🔹 API Access – Automate your parsing requirements and integrate smoothly into your current workflow. 🔹 Batch Processing – Manage multiple documents at once for a swift data extraction experience. Furthermore, Parsie's user-friendly interface enhances the entire experience, making it approachable even for users with minimal technical skills, thereby broadening its accessibility and usefulness across various industries.

What is HireLayer?

HireLayer is a recruitment API platform tailored for ATS and HR software providers, job boards, sourcing tools, staffing agencies, and recruitment firms. Users can access five unique APIs through a single API key, which includes functionalities for resume parsing, job-description parsing, skills mapping, candidate matching, and candidate ranking. The resume parsing feature can handle resumes and CVs from 13 different file types and across 70 languages, converting them into structured JSON format. Job-description parsing is aimed at extracting essential hiring criteria, while skills mapping facilitates the alignment of free-text skills with a predefined taxonomy. The candidate matching API provides scoring along with comprehensive explanations, and the ranking functionality organizes candidates by how well they fit a particular job. Teams are free to integrate these APIs into their existing recruitment tools and workflows or choose to utilize the MCP server instead. Additionally, the hosted service offers 50 free credits each month, with subscriptions starting at €24 per month. Importantly, all parsing tasks are conducted within France, ensuring that data processing complies with EU regulations on data protection. This aspect not only enhances HireLayer's functionality as a recruitment tool but also positions it as a reliable option in light of increasing data privacy concerns. Furthermore, the platform's adaptability allows it to cater to various recruitment needs, making it an invaluable resource for organizations striving to streamline their hiring processes.

Media

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Media

No images available

Integrations Supported

Integrations Supported

Model Context Protocol (MCP)

API Availability

Has API

API Availability

Has API

Pricing Information

$12
Free Trial Offered?

Pricing Information

€24/month
Paid plans start at €24 per month. A free allowance provides 50 credits per month. One credit is used for each successful call and is shared across the five APIs.
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

Parsie

Date Founded

2025

Company Location

United States

Company Website

parsie.pro

Company Facts

Organization Name

HireLayer

Date Founded

2024

Company Location

France

Company Website

hirelayer.co

Categories and Features

Categories and Features

Resume Parsing

Not specified

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