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OpenResume

Free browser resume parser that is handy for quick manual review on clean PDFs, but brittle field mapping and no JSON export make it unsuitable for API pipelines.

Free foreverNo signupSingle-column bestNo JSON export
TL;DR — our verdictUpdated August 2026 · 9 test artifacts

Useful as a free browser checker, but not a parsing API

Where it wins
  • You want a free, zero-signup browser checker for clean single-column resumes.
  • You need a quick manual review of parsed fields rather than a machine-readable API response.
  • You can live with fixed schema fields and occasional misses on name, phone, or CGPA.
Main limitation
  • You need JSON export or an HTTP API.
Pricing (verified plans)
Open Source Free forever
Strongest test artifacts
Observed result →Resume Parsing and Structured Field Extraction →OUTPUT →

Our take

OpenResume is a free, open-source, zero-signup browser parser that is convenient for quick manual review of tidy single-column resumes. The tests confirm that it parses instantly and does not crash, but they also show brittle name, phone, GPA, and layout handling on multi-column and messy PDFs. Because it only exposes a browser view and no JSON export, it is not a fit for automated resume-parsing pipelines.

Download video: Demo video
Browser walkthrough of OpenResume parsing resumes in the UI.

In-Depth Review

Our detailed analysis of OpenResume — features, performance, and real-world testing.

AD
AI Demos Team
Expert Reviewer
Verified Review

Feature-by-Feature Breakdown

Resume Parsing and Structured Field Extraction
Fast and convenient for human review, but not machine-readable.
▾
Test Summary
Feature tested: Resume Parsing and Structured Field Extraction
Result: Failed — Fast and convenient for human review, but not machine-readable.

Feature tested: Resume Parsing and Structured Field Extraction

Result: Failed

Verdict: Fast and convenient for human review, but not machine-readable.

Expected behavior: OpenResume ingests resume PDFs in the browser and fills a structured resume form from clean single-column, multi-column, and messy layouts, covering contact details, summaries, work history, education/GPA, skills, certifications, and languages.

Test case: PDF document → Text prompt

Input type: PDF document

Input used: Input artifact (PDF document): Input — Input1_Rugved_Nichite_CleanResume.pdf

Observed output: Output artifact (Text prompt): Output

Input artifact: Input artifact (PDF document): Input — Input1_Rugved_Nichite_CleanResume.pdf

Output artifact: Output artifact (Text prompt): Output

What changed: PDF document transformed into Text prompt

Test case: PDF document → Text prompt

Input type: PDF document

Input used: Input artifact (PDF document): Source resume — Input2_Priya_Sharma_MultiColumnResume.pdf

Observed output: Output artifact (Text prompt): Observed result

Input artifact: Input artifact (PDF document): Source resume — Input2_Priya_Sharma_MultiColumnResume.pdf

Output artifact: Output artifact (Text prompt): Observed result

What changed: PDF document transformed into Text prompt

Test case: PDF document → Text prompt

Input type: PDF document

Input used: Input artifact (PDF document): Source resume — Input3_John_Kumar_MessyResume.pdf

Observed output: Output artifact (Text prompt): Observed result

Input artifact: Input artifact (PDF document): Source resume — Input3_John_Kumar_MessyResume.pdf

Output artifact: Output artifact (Text prompt): Observed result

What changed: PDF document transformed into Text prompt

Test case: PDF document → Image

Input type: PDF document

Input used: Input artifact (PDF document): Source resume — Input1_Rugved_Nichite_CleanResume.pdf

Observed output: Output artifact (Image): The Name field is blank even though the resume text on the right contains Rugved Nichite and the contact line, so the parser missed the name. — openresume_task1_name-empty.png

Input artifact: Input artifact (PDF document): Source resume — Input1_Rugved_Nichite_CleanResume.pdf

Output artifact: Output artifact (Image): The Name field is blank even though the resume text on the right contains Rugved Nichite and the contact line, so the parser missed the name. — openresume_task1_name-empty.png

What changed: PDF document transformed into Image

Test case: PDF document → Image

Input type: PDF document

Input used: Input artifact (PDF document): Source resume — Input1_Rugved_Nichite_CleanResume.pdf

Observed output: Output artifact (Image): The Phone field is blank while the resume text still shows +91-98765-00000 in the contact line, so the dedicated phone field was not populated. — openresume_task1_phone-empty.png

Input artifact: Input artifact (PDF document): Source resume — Input1_Rugved_Nichite_CleanResume.pdf

Output artifact: Output artifact (Image): The Phone field is blank while the resume text still shows +91-98765-00000 in the contact line, so the dedicated phone field was not populated. — openresume_task1_phone-empty.png

What changed: PDF document transformed into Image

Test case: PDF document → Text prompt

Input type: PDF document

Input used: Input artifact (PDF document): Source resume — Input3_John_Kumar_MessyResume.pdf

Observed output: Output artifact (Text prompt): Observed result

Input artifact: Input artifact (PDF document): Source resume — Input3_John_Kumar_MessyResume.pdf

Output artifact: Output artifact (Text prompt): Observed result

What changed: PDF document transformed into Text prompt

Test case: PDF document → Image

Input type: PDF document

Input used: Input artifact (PDF document): Input — Input2_Priya_Sharma_MultiColumnResume.pdf

Observed output: Output artifact (Image): Company and Job Title both resolve to the same value, 'Software Engineer — ML', showing a field-mapping failure. — openresume_task2_company-jobtitle-mismatch.png

Input artifact: Input artifact (PDF document): Input — Input2_Priya_Sharma_MultiColumnResume.pdf

Output artifact: Output artifact (Image): Company and Job Title both resolve to the same value, 'Software Engineer — ML', showing a field-mapping failure. — openresume_task2_company-jobtitle-mismatch.png

What changed: PDF document transformed into Image

Test case: PDF document → Image

Input type: PDF document

Input used: Input artifact (PDF document): INPUT — Input3_John_Kumar_MessyResume.pdf

Observed output: Output artifact (Image): The Company field contains '-worked on python and java projects' instead of a company name, showing a field-mapping failure on the messy resume. — openresume_task3_company-wrong.png

Input artifact: Input artifact (PDF document): INPUT — Input3_John_Kumar_MessyResume.pdf

Output artifact: Output artifact (Image): The Company field contains '-worked on python and java projects' instead of a company name, showing a field-mapping failure on the messy resume. — openresume_task3_company-wrong.png

What changed: PDF document transformed into Image

Test case: PDF document → Image

Input type: PDF document

Input used: Input artifact (PDF document): Source resume — Input3_John_Kumar_MessyResume.pdf

Observed output: Output artifact (Image): Job Title is empty and the role information was pushed into Date, which reads 'Software Developer at ABC Tech Solutions (2021-present)'. — openresume_task3_jobtitle-empty-2.png

Input artifact: Input artifact (PDF document): Source resume — Input3_John_Kumar_MessyResume.pdf

Output artifact: Output artifact (Image): Job Title is empty and the role information was pushed into Date, which reads 'Software Developer at ABC Tech Solutions (2021-present)'. — openresume_task3_jobtitle-empty-2.png

What changed: PDF document transformed into Image

Test case: PDF document → Image

Input type: PDF document

Input used: Input artifact (PDF document): INPUT — Input2_Priya_Sharma_MultiColumnResume.pdf

Observed output: Output artifact (Image): The Summary field is populated with 'Software Engineer — Machine Learning', which is the resume's job-title headline rather than a profile summary. — openresume_task2_summary-wrong.png

Input artifact: Input artifact (PDF document): INPUT — Input2_Priya_Sharma_MultiColumnResume.pdf

Output artifact: Output artifact (Image): The Summary field is populated with 'Software Engineer — Machine Learning', which is the resume's job-title headline rather than a profile summary. — openresume_task2_summary-wrong.png

What changed: PDF document transformed into Image

Test case: PDF document → Text prompt

Input type: PDF document

Input used: Input artifact (PDF document): Input — Input3_John_Kumar_MessyResume.pdf

Observed output: Output artifact (Text prompt): Output

Input artifact: Input artifact (PDF document): Input — Input3_John_Kumar_MessyResume.pdf

Output artifact: Output artifact (Text prompt): Output

What changed: PDF document transformed into Text prompt

Test case: PDF document → Image

Input type: PDF document

Input used: Input artifact (PDF document): Input — Input1_Rugved_Nichite_CleanResume.pdf

Observed output: Output artifact (Image): The GPA field is blank while CGPA text has been placed into Date instead. — openresume_task1_gpa-in-date-field.png

Input artifact: Input artifact (PDF document): Input — Input1_Rugved_Nichite_CleanResume.pdf

Output artifact: Output artifact (Image): The GPA field is blank while CGPA text has been placed into Date instead. — openresume_task1_gpa-in-date-field.png

What changed: PDF document transformed into Image

Test case: PDF document → Image

Input type: PDF document

Input used: Input artifact (PDF document): Input — Input2_Priya_Sharma_MultiColumnResume.pdf

Observed output: Output artifact (Image): The GPA field is blank while the Date field contains graduation and CGPA text. — openresume_task2_gpa-in-date-field.png

Input artifact: Input artifact (PDF document): Input — Input2_Priya_Sharma_MultiColumnResume.pdf

Output artifact: Output artifact (Image): The GPA field is blank while the Date field contains graduation and CGPA text. — openresume_task2_gpa-in-date-field.png

What changed: PDF document transformed into Image

Test case: PDF document → Image

Input type: PDF document

Input used: Input artifact (PDF document): Input — Input3_John_Kumar_MessyResume.pdf

Observed output: Output artifact (Image): School and Degree are blank, GPA is misread as '12', and the Date field contains the raw education line. — openresume_task3_education-fields-failed.png

Input artifact: Input artifact (PDF document): Input — Input3_John_Kumar_MessyResume.pdf

Output artifact: Output artifact (Image): School and Degree are blank, GPA is misread as '12', and the Date field contains the raw education line. — openresume_task3_education-fields-failed.png

What changed: PDF document transformed into Image

Test case: Text prompt → Text prompt

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Text prompt): OUTPUT

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Text prompt): OUTPUT

What changed: Text prompt transformed into Text prompt

Test case: PDF document → Text prompt

Input type: PDF document

Input used: Input artifact (PDF document): Input — Input2_Priya_Sharma_MultiColumnResume.pdf

Observed output: Output artifact (Text prompt): Output

Input artifact: Input artifact (PDF document): Input — Input2_Priya_Sharma_MultiColumnResume.pdf

Output artifact: Output artifact (Text prompt): Output

What changed: PDF document transformed into Text prompt

Test case: PDF document → Text prompt

Input type: PDF document

Input used: Input artifact (PDF document): Input — Input1_Rugved_Nichite_CleanResume.pdf

Observed output: Output artifact (Text prompt): Output

Input artifact: Input artifact (PDF document): Input — Input1_Rugved_Nichite_CleanResume.pdf

Output artifact: Output artifact (Text prompt): Output

What changed: PDF document transformed into Text prompt

Test case: PDF document → Text prompt

Input type: PDF document

Input used: Input artifact (PDF document): Input — Input1_Rugved_Nichite_CleanResume.pdf

Observed output: Output artifact (Text prompt): Output

Input artifact: Input artifact (PDF document): Input — Input1_Rugved_Nichite_CleanResume.pdf

Output artifact: Output artifact (Text prompt): Output

What changed: PDF document transformed into Text prompt

Test case: PDF document → Text prompt

Input type: PDF document

Input used: Input artifact (PDF document): Input — Input3_John_Kumar_MessyResume.pdf

Observed output: Output artifact (Text prompt): Output

Input artifact: Input artifact (PDF document): Input — Input3_John_Kumar_MessyResume.pdf

Output artifact: Output artifact (Text prompt): Output

What changed: PDF document transformed into Text prompt

Test case: PDF document → Text prompt

Input type: PDF document

Input used: Input artifact (PDF document): Baseline clean resume used for contact extraction. — Input1_Rugved_Nichite_CleanResume.pdf

Observed output: Output artifact (Text prompt): The report says the email and LinkedIn were the reliable contact outputs on this resume.

Input artifact: Input artifact (PDF document): Baseline clean resume used for contact extraction. — Input1_Rugved_Nichite_CleanResume.pdf

Output artifact: Output artifact (Text prompt): The report says the email and LinkedIn were the reliable contact outputs on this resume.

What changed: PDF document transformed into Text prompt

Test case: PDF document → Text prompt

Input type: PDF document

Input used: Input artifact (PDF document): Clean single-column resume with two work experiences. — Input1_Rugved_Nichite_CleanResume.pdf

Observed output: Output artifact (Text prompt): The baseline resume showed the best work-experience extraction in the report.

Input artifact: Input artifact (PDF document): Clean single-column resume with two work experiences. — Input1_Rugved_Nichite_CleanResume.pdf

Output artifact: Output artifact (Text prompt): The baseline resume showed the best work-experience extraction in the report.

What changed: PDF document transformed into Text prompt

Test case: PDF document → Text prompt

Input type: PDF document

Input used: Input artifact (PDF document): Clean single-column resume with a polished summary section. — Input1_Rugved_Nichite_CleanResume.pdf

Observed output: Output artifact (Text prompt): The clean resume summary was the strongest summary result in the report.

Input artifact: Input artifact (PDF document): Clean single-column resume with a polished summary section. — Input1_Rugved_Nichite_CleanResume.pdf

Output artifact: Output artifact (Text prompt): The clean resume summary was the strongest summary result in the report.

What changed: PDF document transformed into Text prompt

Test case: PDF document → Text prompt

Input type: PDF document

Input used: Input artifact (PDF document): Multi-column resume used for section extraction. — Input2_Priya_Sharma_MultiColumnResume.pdf

Observed output: Output artifact (Text prompt): The report says the sidebar sections were extracted correctly on this layout.

Input artifact: Input artifact (PDF document): Multi-column resume used for section extraction. — Input2_Priya_Sharma_MultiColumnResume.pdf

Output artifact: Output artifact (Text prompt): The report says the sidebar sections were extracted correctly on this layout.

What changed: PDF document transformed into Text prompt

Test case: PDF document → Text prompt

Input type: PDF document

Input used: Input artifact (PDF document): Messy-format resume used to test weak section headers. — Input3_John_Kumar_MessyResume.pdf

Observed output: Output artifact (Text prompt): The messy resume still produced a summary, but section grouping was weak.

Input artifact: Input artifact (PDF document): Messy-format resume used to test weak section headers. — Input3_John_Kumar_MessyResume.pdf

Output artifact: Output artifact (Text prompt): The messy resume still produced a summary, but section grouping was weak.

What changed: PDF document transformed into Text prompt

Why it matters / Conclusion: Great for a free browser-side sanity check, but unusable for an automated parsing pipeline because there is no JSON or API output.

OpenResume ingests resume PDFs in the browser and fills a structured resume form from clean single-column, multi-column, and messy layouts, covering contact details, summaries, work history, education/GPA, skills, certifications, and languages.

INPUT
Input1_Rugved_Nichite_CleanResume.pdf
↓
OUTPUT
Accepted PDF directly. No signup required. Parsed instantly in the browser.
pdf
Input2_Priya_Sharma_MultiColumnResume.pdf
↓
OUTPUT
Accepted PDF. Parsed in browser without errors.
pdf
Input3_John_Kumar_MessyResume.pdf
↓
OUTPUT
Accepted PDF. Parsed without crashing.
pdf
Input1_Rugved_Nichite_CleanResume.pdf
↓
image
Output artifact for "Resume Parsing and Structured Field Extraction" test: The Name field is blank even though the resume text on the right contains Rugved Nichite and the contact line, so the parser missed the name., openresume_task1_name-empty.png
The Name field is blank even though the resume text on the right contains Rugved Nichite and the contact line, so the parser missed the name.
pdf
Input1_Rugved_Nichite_CleanResume.pdf
↓
image
Output artifact for "Resume Parsing and Structured Field Extraction" test: The Phone field is blank while the resume text still shows +91-98765-00000 in the contact line, so the dedicated phone field was not populated., openresume_task1_phone-empty.png
The Phone field is blank while the resume text still shows +91-98765-00000 in the contact line, so the dedicated phone field was not populated.
pdf
Input3_John_Kumar_MessyResume.pdf
↓
OUTPUT
Phone extracted as 9876543210, but the +91 country code was stripped.
INPUT
Input2_Priya_Sharma_MultiColumnResume.pdf
↓
OUTPUT
Output artifact for "Resume Parsing and Structured Field Extraction" test: Company and Job Title both resolve to the same value, 'Software Engineer — ML', showing a field-mapping failure., openresume_task2_company-jobtitle-mismatch.png
Company and Job Title both resolve to the same value, 'Software Engineer — ML', showing a field-mapping failure.
pdf
Input3_John_Kumar_MessyResume.pdf
↓
image
Output artifact for "Resume Parsing and Structured Field Extraction" test: The Company field contains '-worked on python and java projects' instead of a company name, showing a field-mapping failure on the messy resume., openresume_task3_company-wrong.png
The Company field contains '-worked on python and java projects' instead of a company name, showing a field-mapping failure on the messy resume.
pdf
Input3_John_Kumar_MessyResume.pdf
↓
image
Output artifact for "Resume Parsing and Structured Field Extraction" test: Job Title is empty and the role information was pushed into Date, which reads 'Software Developer at ABC Tech Solutions (2021-present)'., openresume_task3_jobtitle-empty-2.png
Job Title is empty and the role information was pushed into Date, which reads 'Software Developer at ABC Tech Solutions (2021-present)'.
pdf
Input2_Priya_Sharma_MultiColumnResume.pdf
↓
image
Output artifact for "Resume Parsing and Structured Field Extraction" test: The Summary field is populated with 'Software Engineer — Machine Learning', which is the resume's job-title headline rather than a profile summary., openresume_task2_summary-wrong.png
The Summary field is populated with 'Software Engineer — Machine Learning', which is the resume's job-title headline rather than a profile summary.
INPUT
Input3_John_Kumar_MessyResume.pdf
↓
OUTPUT
Objective statement extracted correctly into the Summary field.
INPUT
Input1_Rugved_Nichite_CleanResume.pdf
↓
OUTPUT
Output artifact for "Resume Parsing and Structured Field Extraction" test: The GPA field is blank while CGPA text has been placed into Date instead., openresume_task1_gpa-in-date-field.png
The GPA field is blank while CGPA text has been placed into Date instead.
INPUT
Input2_Priya_Sharma_MultiColumnResume.pdf
↓
OUTPUT
Output artifact for "Resume Parsing and Structured Field Extraction" test: The GPA field is blank while the Date field contains graduation and CGPA text., openresume_task2_gpa-in-date-field.png
The GPA field is blank while the Date field contains graduation and CGPA text.
INPUT
Input3_John_Kumar_MessyResume.pdf
↓
OUTPUT
Output artifact for "Resume Parsing and Structured Field Extraction" test: School and Degree are blank, GPA is misread as '12', and the Date field contains the raw education line., openresume_task3_education-fields-failed.png
School and Degree are blank, GPA is misread as '12', and the Date field contains the raw education line.
INPUT
Structured single-column resume sections for skills, certifications, and languages on the clean resume.
↓
OUTPUT
All skills were extracted and grouped correctly by category, both certifications were extracted correctly, and the languages section was captured with all listed languages present.
INPUT
Input2_Priya_Sharma_MultiColumnResume.pdf
↓
OUTPUT
Name, email, and LinkedIn URL were extracted correctly.
INPUT
Input1_Rugved_Nichite_CleanResume.pdf
↓
OUTPUT
Both work experiences extracted correctly with all bullet point descriptions preserved completely.
INPUT
Input1_Rugved_Nichite_CleanResume.pdf
↓
OUTPUT
Education extracted with degree and institution.
INPUT
Input3_John_Kumar_MessyResume.pdf
↓
OUTPUT
Skills section extracted; certifications, references, and hobbies were all lumped into the same skills block since there were no separate section headers.
pdf
Input1_Rugved_Nichite_CleanResume.pdf
Baseline clean resume used for contact extraction.
↓
OUTPUT
Email was extracted correctly and the LinkedIn URL was extracted correctly under the Link field.
pdf
Input1_Rugved_Nichite_CleanResume.pdf
Clean single-column resume with two work experiences.
↓
OUTPUT
Both work experiences were extracted correctly and the bullet point descriptions were preserved completely.
pdf
Input1_Rugved_Nichite_CleanResume.pdf
Clean single-column resume with a polished summary section.
↓
OUTPUT
Professional summary extracted fully and accurately word-for-word.
pdf
Input2_Priya_Sharma_MultiColumnResume.pdf
Multi-column resume used for section extraction.
↓
OUTPUT
Skills, certifications, and languages were extracted from the right sidebar, including English, Hindi, and Marathi.
pdf
Input3_John_Kumar_MessyResume.pdf
Messy-format resume used to test weak section headers.
↓
OUTPUT
Objective statement extracted correctly into Summary, but certifications, references, and hobbies were all lumped into the skills block.
Bottom Line
Great for a free browser-side sanity check, but unusable for an automated parsing pipeline because there is no JSON or API output.
From our researchParse resumes into structured data using an APIearlier research

Pricing & access

Fully free open-source project; no paid tiers were reported.

TESTED
Open Source
Free forever
AGPL-3.0 licensed, runs client-side in-browser, no signup or account required.

Runs client-side in the browser with no signup or account required.

✓ Use This If
●You want a free, zero-signup browser checker for clean single-column resumes.
●You need a quick manual review of parsed fields rather than a machine-readable API response.
●You can live with fixed schema fields and occasional misses on name, phone, or CGPA.
✕ Skip This If
●You need JSON export or an HTTP API.
●You need robust parsing for multi-column or messy resumes.
●You need reliable Indian phone-number or CGPA handling.
●You need flexible custom fields instead of OpenResume's fixed schema.
otherotherotherOther
No. The report says there is no JSON export and the result is only viewable in the browser, which is why it is not suitable for API pipelines.
Yes, it is reported as a fully free open-source project. The tests say it runs client-side in the browser and requires no signup or account.
A clean single-column PDF worked best. It parsed instantly and handled more of the resume correctly than the multi-column or messy layouts.
The work-experience fields broke: Company and Job Title both became 'Software Engineer — ML'. Summary also picked up the job-title headline, and CGPA was pushed into Date.
It parsed without crashing, but education failed badly, the Company field was filled with a bullet-like project description, and Job Title was left empty.
Poorly. The clean resume's +91 phone number was not populated into the Phone field, and CGPA values such as 8.2/10 and 8.7/10 were placed in Date instead of GPA. On the messy resume, the phone lost its country code.

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