What is this deliverable for?

The Candidate CV Analysis is a report automatically generated by Trimoji's AI from an uploaded CV. It transforms a free-form text document—often difficult to quickly scan—into a structured, comparable, and evaluable profile.

The goal is to reduce CV reading time by extracting relevant information in a standardized way: career path, technical skills, education, languages. Each piece of information is categorized and weighted to produce an actionable reading score.

This deliverable does not interpret the candidate as a person; it structures the facts from the CV so that the recruiter can quickly compare them with other candidates or with a job profile (Ideal CV Persona).

What the report contains, section by section

1. Identity and contact information

The report extracts and presents the candidate's identifying information: name, geographical location, email address, gender, and age (when available in the CV), as well as detected driving licenses.

2. Languages and proficiency levels

The AI identifies languages mentioned in the CV and assigns them a detected level (beginner, intermediate, advanced, fluent, native). This information is displayed as tags for instant reading.

3. Last significant experience

The last professional experience is isolated and detailed:

• Job title held
• Industry sector
• Company size
• Duration of the position (in months)
• Recency (time elapsed since departure, or mention "in position" if current)

4. Associated positions and past experiences

The AI lists up to seven job titles from the candidate's career path. This section allows for a quick assessment of the consistency and diversity of the professional background.

5. Highest degree

The report identifies the highest degree with: its title, year of obtention, field of study (CIP code), and type (ISCED level). This level of detail allows for standardized comparison of academic backgrounds.

6. Technical skills (hard skills) analysis

The AI extracts and categorizes the technical skills detected in the CV. Each hard skill is displayed with a confidence score (visual bar), reflecting the robustness of the detection and the frequency of the skill in the document.

7. Knowledge analysis

In addition to hard skills, the report extracts theoretical knowledge, tools, methodologies, and areas of expertise mentioned in the CV. Each is also assessed as a percentage to facilitate comparison.

How does it work?

Step 1 — CV Upload

The recruiter uploads the candidate's CV into Trimoji (PDF, image, or text formats). For scanned or image documents, an OCR process extracts the text before analysis.

Step 2 — AI Extraction and Structuring

The AI module (Livi) processes the extracted text: it identifies and structures key entities (experiences, skills, education, languages, contact information) using natural language processing and named entity recognition techniques. Extracted skills are then categorized and weighted.

Step 3 — Report Generation and Scoring

The structured report is generated in PDF format. If a job brief (ideal CV) has been created for this position, a matching score is automatically calculated between the analyzed CV and the target profile, facilitating pre-selection.

Step 4 — Utilization and Comparison

The report can be viewed from Trimoji, integrated into a candidate file, or synchronized with your ATS, depending on your integrations. The standardized structure allows for comparison of multiple candidates on the same criteria without having to reread each CV in full.

Benefits for an HR team

• Standardized reading of all CVs, regardless of their layout or format.
• Significant time savings on the sorting phase, especially for high-volume recruitment.
• Objective comparison between multiple candidates on the same skills and criteria.
• Automatic matching score when an Ideal CV Job Brief is associated.
• ATS Integration: analysis can be directly pushed to the candidate file based on your connections.

Use Cases

High-volume recruitment

Automate the structuring of incoming CVs to focus human reading time on pre-screened profiles. The matching score allows for quick prioritization of the shortlist.

Consulting firms and ESNs

Quickly structure CVs from your talent pool to present to clients in a homogeneous, comparable, and professional format.

ATS Integration

Synchronize CV analyses directly into your ATS candidate files to centralize information and facilitate tracking.

FAQ

What CV formats are accepted?

PDF, images (JPEG, PNG), and plain text. For scanned or image CVs, an OCR layer extracts the text before AI analysis.

Can the AI make mistakes in extraction?

Errors are still possible on atypical, highly graphical, or rare language CVs. The report remains a reading aid, not a replacement for the recruiter who retains the final interpretation.

Is the CV report combined with the personality profile?

Yes, within the Candidate File. This deliverable consolidates the CV analysis and the personality profile into a single document, with matching scores on both dimensions.

Is the CV stored by Trimoji?

Structured data is retained in the Trimoji database according to your organization's terms of use. Retention and access rules comply with GDPR.

Would you like to automate CV reading and structuring to speed up your pre-selection process?

Request a demo