Extract key resume data with an AI-powered OCR
Koncile's AI OCR, a solution to extract and validate resume data, powered by AI, reliable, customizable, and available via API.
The OCR that identifies key information in resumes
Koncile’s resume OCR tool is adapted for KYC verifications, sorting, initial screening of candidates, content analysis, qualitative assessment, and identifying potential red flags.
Upload resumes in image or PDF format into Koncile's OCR software and receive structured data in spreadsheet, JSON format, or a machine-readable database.
Koncile automates the intelligent extraction of contractual data. Despite the complexity of our clients’ contracts, the tool ensures quality and speed, saving us valuable time.
Complete field extraction with our OCR tailored for resumes
Koncile’s resume OCR solution captures standardized information that recruiters, HR managers, or hiring managers look for. It allows the creation of a resume database, categorizing candidates based on your PDF resumes.
You can not only capture all this information and convert it into the format of your choice but also analyze it automatically by comparing the candidate's profile to the job description or an internal evaluation grid.
Nom | Type | Exemple | Instruction | |
|---|---|---|---|---|
Validité | Text | Oui | Vérifie que le RIB est bien constitué des éléments suivants : | |
Why choose Koncile OCR for your resumes?
Customized data extraction
A simple and intuitive interface to precisely select the fields to extract from your HR documents.
Automatically identify key information: employee name, contract type, hire date, social security number, status, salary, and much more.
Eliminate manual data entry and speed up the processing of administrative records with extraction perfectly tailored to your HR workflows.
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Precision for your HR documents
With an accuracy rate above 99%, our OCR engine delivers exceptional precision on the key fields found in HR documents.
Every piece of information is captured reliably from employee names and social security numbers to hire dates, salaries, and contract types.
Thanks to our built-in anomaly detection system, you can identify errors, inconsistencies, or signs of document fraud detection early on, enabling automated quality control and faster, more responsive HR management.
Multilingual HR recognition
Powered by advanced language models (LLMs), our OCR engine accurately recognizes alphabets and languages from around the world.
Chinese, Arabic, Cyrillic, Japanese no matter the format or language of the HR document, Koncile detects key fields such as names, contract dates, job titles, or salaries, and enables automatic translation.
Easily digitize, extract, and centralize your HR data, even in multilingual environments with international employee profiles.
Scanned or photographed Human Resources documents
Whether scanned, photographed, or submitted by employees, your HR documents are converted into usable data with outstanding reliability thanks to our OCR technology.
Even old contracts, handwritten forms, blurry images, or poorly aligned documents can be accurately processed thanks to our automatic correction engine.
Unrecognized fields are isolated and forwarded to our control center for validation or manual processing, ensuring a high level of completeness and reliability in your HR workflows.
Integrated with your HR management tools
Koncile integrates seamlessly into your digital ecosystem: connect via API, automatically import documents from your emails, or synchronize directly with your ERP.
Easily upload your documents, trigger automated data extraction, and retrieve structured information exactly where you need it.
Whether you’re using Excel, Outlook, SAP, or another business tool, Koncile adapts to your document workflow to simplify management and maximize productivity.
Discover next-generation data extraction
Start with a resume template, test it, and scale
An OCR solution designed to extract your resumes
Automatic extraction of resume information
Studies and education, languages spoken, interests: identify and extract key data automatically
From resume to actionable data
Easily manage your resumes by converting them into structured, usable data
Multi-format resume processing
Easily manage and standardize resumes in different formats (PPT, PDF, Word, Canvas)
Extraction of resume data for API
Create a comprehensive database integrated into an app accessible via API
Beyond OCR: Validation & control of extracted data
Does the candidate have experience in the sector? Are the candidate's skills aligned with the job description? Are there inconsistencies in the resume? Automate resume management with intelligent OCR.
The API to streamline your document management
Document status can be DONE, DUPLICATE, or IN PROGRESS
Unique identifier assigned to each document
Fields that appear once per document. Returns in the format: {field_name: extracted_value}
An AI OCR tool built for regulated environments
Founded by a former lawyer, Koncile was designed with compliance and data protection at its core. We are independently audited under SOC 2 and compliant with GDPR and HIPAA requirements.
Talk to an expert who knows your industry.
- Get an external expert opinion on your specific use case
- Benchmarks and results from hundreds of clients in your industry
- Help activating the right Koncile features for your workflow
Real life insights on document automation
All your questions on Koncile
The OCR analyzes the CV using computer vision algorithms to detect and read characters. With natural language processing (NLP), the OCR can identify key information such as the name, address, work experience, skills, and education. This process ensures accurate extraction of both structured and unstructured data present in the CV.
Yes, you can extract specific information from a CV, such as work experience, skills, education, contact details, and even certifications. The OCR can be configured to extract these data based on the sections or formats of the CVs you are processing.
Yes, the OCR is capable of processing both printed and handwritten resumes. If a resume is handwritten, the OCR uses advanced techniques to recognize the handwritten characters and convert them into digital text, ensuring the accuracy of the extracted data.
Yes, OCR can process CVs in different formats, including PDF, DOCX, TXT, and scanned images. Whether it's a traditional CV, a creative CV, or a plain text CV, OCR can extract the information effectively and accurately.
Koncile is accessible via an API, with complete documentation available here. Additionally, you can import your documents directly into the application and download the extracted data in XLSX, XLS, CSV, or JSON formats for seamless integration into your workflows.
Check our API documentation, contact us at contact@koncile.ai. You can also create a demo account or book a demonstration with our team.
Of course! Start by exploring our template library, which covers various industries. If you don't find a suitable template, you can easily create your own custom template.
Absolutely! Koncile's OCR extraction service allows fully customizable fields. Our templates are just a starting point: you can adapt them by adding your own fields to meet your specific needs.
Koncile offers 3 plans, including enterprise options for handling large volumes of data. You can check our pricing on our pricing page.
Koncile allows importing PDF files and all common image formats, including PNG and JPEG.
In each extraction template, you will find:
- General fields: These are pieces of information that appear only once in each document (e.g., the invoice number or the invoice date).
- Repeated fields: These are pieces of information that appear multiple times in a document, such as item descriptions or prices in each line of a quote. Use repeated fields for extracting tables and charts from your documents.