GeniusCV — CV Analyzer

Instantly analyze CVs on any page or PDF. Get scores, keyword clouds, and AI-powered improvement tips. Powered by GeniusCV.

GeniusCV — CV & Resume Analyzer Browser Extension · Free · No Account Required What is GeniusCV? GeniusCV is a free browser extension that analyzes CVs, resumes, and cover letters directly in your browser — no uploads, no accounts, no waiting. Open any LinkedIn profile, paste your resume into a web page, or navigate to a CV hosted online, and GeniusCV gets to work instantly: scoring your document across multiple dimensions, surfacing the keywords recruiters and ATS systems look for, and giving you concrete, actionable suggestions to improve your chances of getting hired. It's built for job seekers who want honest feedback on their CV without paying for a subscription or handing their personal career data to a third-party service. The analysis happens entirely on your device, inside the extension itself. Your CV text never leaves your browser. What It Does When you open GeniusCV on a page containing a CV or resume, it extracts the visible text and runs it through a local analysis engine. Within seconds, you get: CV Score Tab A composite score out of 100 built from six weighted dimensions: Impact, Keywords, Formatting, Tone & Voice, ATS compatibility, and Structure. Each dimension is shown individually as a progress bar and visualized together on a radar chart so you can see at a glance where your CV is strong and where it needs work. Below the scores, three health cards give you quick stats that matter to recruiters: your total word count (with a color-coded indicator for whether it's too short, too long, or in the ideal range), the number of quantified achievements found (metrics like percentages, monetary figures, or multipliers), and the count of strong action verbs detected. A section checklist shows which standard CV sections — Summary, Experience, Education, Skills, Certifications, Languages, Projects, Achievements — were detected in your document. At the bottom of the tab, a suggestion panel identifies the most impactful improvements you can make: replacing weak passive phrases like "was responsible for" with active verbs like "led" or "delivered", adding measurable outcomes to your bullet points, and covering keyword gaps that ATS systems commonly check for. Cover Letter Tab If a cover letter is detected on the page, GeniusCV analyzes it separately. You get word count, paragraph count, an overall score, and an estimated ATS compatibility percentage. Four sub-scores — Opening Hook, Persuasion, Job Fit, and Closing — are shown as bars and as a radar chart. Suggestions target the specific weaknesses found: a generic opening, missing company references, a lack of concrete examples, or a weak call to action. Keywords Tab A keyword cloud shows every recognized professional keyword found in your document, from technical skills to business competencies (stakeholder management, KPIs, cross-functional leadership) to soft skills. A second cloud highlights commonly expected keywords that are missing — the gaps an ATS might penalize you for. A bubble map visualizes word frequency across the entire document. A skills mix bar breaks down what proportion of your keywords fall into technical, business, and soft skill categories, which can help you tune your CV for a specific type of role. Five Languages The interface is available in English, French, Spanish, Portuguese, and Italian. The language selector is in the top bar; switching languages re-renders the entire interface instantly, including all scores, labels, and suggestions. Privacy By Design GeniusCV was built with one principle at the center of every architectural decision: your data belongs to you, and it stays with you. The entire analysis engine runs locally inside the browser extension. When you open GeniusCV on a page, the extension reads the visible text from that page, runs it through a JavaScript analysis engine embedded in the extension itself, and displays the results — all without any network request carrying your CV content anywhere. There is no backend server receiving your resume text. There is no analytics pipeline ingesting what you typed or what score you received. There is no user account for us to associate your data with. No CV text, no personal details, no scores, and no usage patterns are transmitted to any cloud service, database, or third party that we are aware of. The only data that persists between sessions is your language preference, stored locally in your browser's extension storage using Chrome's chrome.storage.local API — which is entirely on your machine and never synchronized to any external server unless you have Chrome Sync enabled in your browser settings. This is privacy by design, not privacy by policy. We haven't built the infrastructure to collect your data because we don't want it. The extension works offline. It will keep working even if our servers go down, because it doesn't depend on them for its core functionality. Known Limitations & Current Flaws We believe in being straight with you. GeniusCV is a work in progress and has real limitations you should know about before you rely on it. PDF Support in the Extension (Currently disabled) This is the biggest current limitation. When a PDF CV is open in Chrome's built-in viewer, the extension attempts to fetch and parse the raw PDF binary, decompress its content streams, and extract the text. This works for some PDFs — particularly those produced by simpler tools with uncompressed or straightforward FlateDecode streams. But many modern PDFs — especially those exported from Microsoft Word, Adobe Acrobat, or LaTeX — use cross-referenced indirect stream lengths, multiple nested compression filters, encrypted content, or font-encoded text that our lightweight parser cannot reliably reconstruct. The result is that PDF analysis in the Chrome extension is inconsistent. Some PDFs work perfectly; others return no content at all. We've made multiple improvements to the parser and will keep working on it, but we want to be honest: PDF CV analysis is currently most reliable in our web app, where we can use a more capable server-side parser. If you're getting "No CV detected" on a PDF, try the web app link in the extension footer — it handles the same document correctly. ATS Scoring is Heuristic, Not Real The ATS compatibility score is a heuristic estimate based on the presence of standard CV sections, recognized keywords, and formatting signals we can detect from plain text. It is not connected to any actual ATS platform. Real ATS systems vary enormously in how they parse and rank CVs. Our score gives you a useful directional signal, but it is not a guarantee or a simulation of any specific platform. Text-Based Analysis Only The extension reads text. It cannot see your formatting, fonts, column layouts, tables, or visual design. A beautifully formatted two-column CV might extract as a jumbled stream of text in which sections are harder to detect, leading to lower structure scores than the actual document deserves. This is a fundamental constraint of in-browser text extraction and affects any tool that reads DOM text or PDF content streams. LinkedIn Parsing Variation LinkedIn's page structure changes regularly. The extension uses a general text extraction approach that works on most LinkedIn profile layouts, but edge cases exist — particularly for profiles in certain regions, with non-standard section names, or on pages where LinkedIn has A/B tested a new layout. Keyword Library Scope The keyword engine covers a broad range of technical, business, and soft skills, but it is not exhaustive and is not industry-specific. A CV for a nurse, an architect, or a legal professional will score lower on keyword coverage not because the CV is weak, but because the default keyword library skews toward tech and corporate roles. Industry-specific keyword sets are on the roadmap. No Job Description Matching (Yet) The extension currently scores your CV in isolation. It cannot compare your CV to a specific job posting to calculate a real match percentage. This feature exists in the web app and is planned for the extension. What We're Working On Fixing PDF Parsing in the Extension The core parser is being rewritten to handle the full range of PDF content stream structures, including indirect object references for stream lengths, cross-reference streams (PDF 1.5+), multiple chained filters, and the character encoding remapping that many professional PDF tools use for fonts. This is a genuinely hard problem to solve inside a browser extension with no server-side processing, but we're committed to getting it right. Smarter Section Detection The current section detector uses a keyword list to identify CV sections. We're moving to a pattern-based approach that understands the visual and structural signals of a section header — capitalization, line length, proximity to blank lines — so it can detect sections even when they use non-standard labels. Richer Score Explanations Each score dimension will get an expandable explanation panel showing exactly which signals contributed to the score and which specific phrases or patterns triggered a suggestion. Instead of "weak action verbs detected", you'll see the exact sentences flagged and suggested rewrites. Job Description Matching Paste a job posting into a field in the extension and get a real match score: which of the job's required skills you have, which are missing, and how prominently featured they are in your CV relative to the job's emphasis. This is the most-requested feature from users who have tried the web app version. Coming Soon — Subscribe to Stay Updated The features below are already in development or live in the full web app. They will roll out to the extension progressively. If you want early access or to be notified when they launch, subscribe on the GeniusCV app page at alahay.org/apps/GeniusCV. Full AI-Powered Rewrite (Web App → Extension) The web app already offers a full CV rewrite powered by AI: your existing CV text goes in, and you get back a restructured, re-worded version optimized for ATS systems and human readers, with stronger action verbs, quantified achievements added where possible, and better formatting signals. The Web App is still being under development. Cover Letter Generator Write a cover letter from scratch or improve an existing one. Paste a job description, and the AI generates a tailored letter that mirrors the job's language, addresses the key requirements, and opens with a hook specific to that company and role. Already live in the web app. Real Job Match Score Upload or paste a job description, and GeniusCV cross-references every line of your CV against every requirement in the posting. You get a percentage match, a breakdown by category (technical skills, experience level, qualifications, soft skills), and specific suggestions for how to close the gap before you apply. Industry-Specific Keyword Libraries Specialized keyword sets for healthcare, legal, finance, engineering, education, creative industries, and more. Your CV will be evaluated against the vocabulary that actually matters in your field, not a generic corporate keyword list. Multi-Language CV Analysis The interface already supports five languages, but the analysis engine currently works best on English-language CVs. Expanding deep analysis support to French, Spanish, Portuguese, and Italian CVs — with language-specific keyword libraries, tone analysis tuned for each language's professional conventions, and localized suggestions — is actively in development. LinkedIn Profile Export & Optimize Analyze your LinkedIn profile with GeniusCV and get a side-by-side view of your profile versus your CV, highlighting gaps and inconsistencies. Then get suggestions specifically for improving your LinkedIn headline, About section, and Experience entries for searchability. Version History & Score Tracking Track how your CV score changes over time as you make revisions. See a timeline of your scores across dimensions so you can measure progress and understand which edits had the most impact. How to Use Install the extension from the Chrome Web Store Navigate to a LinkedIn profile, a web page containing a CV, or a resume hosted online Click the GeniusCV icon in your browser toolbar The analysis runs automatically — results appear within a second or two Use the tabs to explore your score, cover letter analysis, and keyword breakdown Click "Rescan" if you've made changes to the page or navigated to a different CV For PDF CVs, open the PDF in Chrome (file or web URL ending in .pdf) and click the extension icon. If no content is detected, use the web app for full PDF support. A Note on Where We Are GeniusCV the extension is genuinely useful today for LinkedIn profiles and web-based CVs — we've had hundreds of users run analyses and come away with concrete improvements to make. The keyword gap detection and ATS heuristics alone have helped people identify missing skills and restructure bullet points in ways that matter. But we're also honest that it's version one of something we want to be version ten of. PDF support isn't where it needs to be. The keyword library could be three times deeper. The suggestions could be more specific. The scoring could be more transparent. We're working on all of it. If you've found it useful even in its current form, the best thing you can do is subscribe on the app page — not to start paying for anything, but so we can tell you when the next version lands and what it can do that this one couldn't. Your CV deserves better than a tool that only half-works. We're building toward the other half. GeniusCV is part of the Alahay project · alahay.org · No data stored · Privacy by design