The Most Advanced and Accurate AI Resume Parser🚀

Trusted by job boards, HR platforms, ATS, and recruiters to hire top talent faster with our AI resume analysis tool.

Steps to use our resume parsing software
1

Upload Resumes in Bulk or Individually

2

Automatically Extract Resume Data

3

Download or Sync with your ATS, HRM

START PARSING NOW!
upload

Drag and drop a resume file or click to upload

PDF, doc, docx or word file (maximum 5 files)

Key Features That Make

Our Resume Parser Stand Out

High Accuracy at Speed

High Accuracy at Speed

Our resume parser extracts 200+ key data points in seconds. You can parse 100,000+ resumes in minutes with unmatched speed and accuracy. Our AI-powered Resume Parser API simplifies resume data.

Multiple Formats

Multiple Formats

You can parse resumes in PDF, DOC, DOCX, IMG, TXT, HTML or Word format and export them as CSV, JSON, XLS, DOC, or PDF. You can configure our AI Resume Parser API to customize resume export templates.

Integrate Your ATS

Integrate Your ATS

Our resume parser API integrates seamlessly with your HRIS, ATS, and other HR tools. This enables a smooth and automated data flow. Our CV parser helps you hire strategically with accurate and efficient results.

Why Choose Us?

Skima AI Resume Parser Vs. Competitors/Other parsers

Features

Skima AI

Competitor #1

Competitor #2

Competitor #3

Accuracy

99%

88%

74%

73%

Format Support

DOC, DOCX, PDF, Word, IMG, HTML, TXT

PDF, Word, IMG

DOC, DOCX, PDF, HTML, RTF, TXT

PDF only

API Integration Ease
Cost Efficiency
24/7 Customer Support
SOC 2 Data Security
Start Parsing Now

How Our Resume Parser
Algorithm Works?

Our AI resume parser algorithm works in 4 steps:

Text extraction from different file format

Step 1 - Extract Text from Any Document Format

Our resume parser algorithm first identifies and extracts raw text from formats like PDF, Word, and HTML. It uses OCR for image-based files and ensures text accuracy, which is crucial for ATS friendly parsing.

Organize data in logical sections

Step 2 - Organize Data into Logical Sections

The extracted text is then organized into sections like work experience, education, skills, and more. The parser's advanced pattern recognition ensures structured segmentation even in varied resume layouts.

Prioritize Relevant Information Using NLP

Step 3 - Prioritize Relevant Information Using NLP

Natural Language Processing (NLP) identifies and ranks essential details, filtering keywords and phrases that match job requirements. This prioritization optimizes candidate relevance for recruiters.

Output Optimized for ATS Systems

Step 4 - Output Optimized for ATS Systems

The final structured data is formatted to be ATS-compatible, ensuring easy integration with HR software. This step maximizes candidate visibility and accuracy in ATS filtering.

Frequently Asked Questions

What is resume parsing?

Resume parsing is an AI-driven process of extracting information from resumes or CVs. The information includes education, experience, skills, contact details, and more. After extraction, the resume parser quickly turns unstructured data into organized fields. This process speeds up candidate filtering by up to 70% and improves hiring efficiency.

How do I parse my resume?

To parse a resume, upload it to a resume parser tool or ATS with parsing capabilities. The tool scans the document, extracts relevant information, and converts it into a structured format. Now, you can download or sync with your ATS, HRM, and other HR tools to easily search and filter.

How does resume parsing work?

Resume parsing uses machine learning and natural language processing to analyze resume text. It identifies patterns to classify data like names, skills, job titles, education, and more. The parsing process takes unstructured information from resumes and organizes it into structured fields. This organized data is then stored in the recruiter's ATS to filter and search for candidates by relevant qualifications.

How does resume parsing help recruiters?

Recruiters can save more than 70% of their time by using a resume parser tool. It speeds up recruitment by automating data extraction, reducing manual entry, and enabling recruiters to search for specific skills or experience. This technology boosts candidate searchability and ATS accuracy. This helps recruiters find qualified candidates faster and hire them sooner.

Is my data secure when using the resume parser?

Yes, your data is extremely secure. Skima AI resume parser is SOC 2 compliant and follows strict security standards. It uses end-to-end encryption and secure storage. This setup protects sensitive candidate information from unauthorized access. So, both recruiters and applicants can be confident in their data privacy.