Quantified achievement
A specific result is easier for the local scan and a recruiter to recognize.
Input
Responsible for improving deployment processes.Output
Reduced deployment time from 40 minutes to 8 minutes by automating the release pipeline.Check resume structure, contact details, sections, wording, and ATS readability with local checks and an optional AI review.
Content last reviewed
Pasted text stays in your browser until you choose the AI review.
Instant ATS scan
Paste text for local checks, or upload a file for text extraction before the local checks run.
A senior-recruiter-grade critique: section scores, formatting issues, missing keywords and strengths. Uses 1 free daily AI generation and sends the resume text to the AI review endpoint when you click.
AI-generated content may contain inaccuracies. Text you submit for AI features is sent to the server-side AI provider for processing; please review and personalize the output before use.
Fix what the scan found
Paste at least 40 characters for the instant scan, or upload a PDF, DOCX, or TXT file.
Inspect the score, detected sections, page estimate, and eight rule-based checks as you edit.
Optionally run the AI recruiter review and download its sectioned report as a PDF.
A specific result is easier for the local scan and a recruiter to recognize.
Input
Responsible for improving deployment processes.Output
Reduced deployment time from 40 minutes to 8 minutes by automating the release pipeline.Input
Software Engineer
name@example.org | +1 555 010 2040
Work Experience
Reduced API latency by 35% through query optimization.Output
Instant scan: detected contact information, Work Experience section, action verb, and quantified achievement.This checker separates measurable resume structure from qualitative feedback. The instant scan examines pasted or extracted text for parseable contact details, standard sections, length, quantified achievements, action verbs, weak phrases, and characters or layouts that can disrupt text extraction. It updates as the text changes, making it useful for iterative editing rather than as a one-time grade.
The optional AI review is a separate server-assisted action. It returns an overall assessment, section scores, formatting concerns, missing keywords, and strengths. The result is guidance, not a prediction of how a particular employer's applicant tracking system will rank an application.
Choose Paste and enter your resume text, or choose Upload for a text-based .pdf, .docx, or .txt file up to 5 MB.
Read the instant score and expand individual checks to understand what passed and what needs attention.
Revise the text and review the live checks again.
If you want qualitative feedback, select Get AI deep review. This sends the resume text to the server-side AI provider.
Review each recommendation critically and optionally download the AI report as a PDF.
Eight checks run against resume text without requiring the AI review.
Accepts text-based PDF, DOCX, and TXT files up to 5 MB through the resume-upload endpoint.
The optional review returns section scores, strengths, missing keywords, and formatting issues.
A completed AI review can be exported as a sectioned PDF report.
Confirm that contact details and standard resume sections can be detected before submitting.
Check extracted text from a designed resume for risky characters or table-like lines.
Find bullets that lack action verbs, measurable outcomes, or clear wording.
The browser computes a deterministic score from the extracted text. Each check has an explicit point value and explanation, so the result is reproducible for the same input.
Selecting the AI review submits validated resume text of 50–30,000 characters to the ATS review endpoint. The response is structured into an overall score, summary, section feedback, formatting issues, missing keywords, and strengths.
Plain resume text entered directly in the editor.
Text-based PDF, DOCX, and UTF-8 TXT files up to 5 MB.
On-page results and an optional PDF download for the AI review.
Switch between direct text entry and server-side file extraction.
Use local rule-based checks alone or request the separate AI assessment.
The local scan needs 40 characters, while the AI review requires at least 50.
Scanned or image-only PDFs may contain no extractable text.
The file may exceed 5 MB, use an unsupported format, or fail content validation.
AI generations are rate limited and may be unavailable until the limit resets.
Use conventional headings such as Work Experience, Education, and Skills, then make sure the heading appears in extracted text.
Copy text from the PDF manually to check whether it contains a real text layer. Image-only scans require OCR before this tool can read them.
Pasted text is analyzed locally for the instant scan. Uploaded files are sent to the resume-upload route for one-time text extraction. Selecting the AI review sends resume text to the server-side AI provider. PDF report generation is also server-assisted. Avoid including sensitive information that is unnecessary for the review.
Use standard section names and a single-column reading order.
Keep claims truthful and support important achievements with numbers where possible.
Test the extracted text from a PDF before relying on its visual appearance.
Treat the score as a checklist, not an employer decision.
Remove sensitive details that are not needed for feedback and keep an original copy of the resume.
Fix structural failures first, then improve wording. Recheck the text after exporting from your resume editor because PDF generation can change extraction order.
Local scoring is deterministic and derives word count, estimated pages, detected sections, contact signals, bullet patterns, risky characters, and other text indicators. File extraction uses server-side PDF and DOCX parsers or UTF-8 text decoding. AI requests accept 50–30,000 characters.
| Mode | Processing | Best for |
|---|---|---|
| Instant scan | Browser | Repeatable structural checks |
| AI review | Server and AI provider | Qualitative section feedback |
Job seekers who want to check resume structure before applying, career advisers reviewing document readability, and candidates comparing an exported resume with its underlying text.
No. It checks selected structural and writing signals. Employers configure different systems, filters, and screening questions.
Text-based PDF, DOCX, and TXT files up to 5 MB are supported for text extraction.
No. The instant scan is deterministic and local. The optional AI review sends text to a server-side AI provider for qualitative feedback.
An image-only PDF has no text layer for the parser to extract. Run OCR or paste the resume text instead.
The AI review can be downloaded as a PDF after it completes.