--- title: "OpenResume" type: "AI Tool" url: "https://aidemos.com/tools/openresume" description: "We parsed clean single-column PDFs in OpenResume and got instant browser results, but brittle field mapping and no JSON export break API workflows." category: "other" published: "2026-07-11T16:01:21.120301+00:00" updated: "2026-08-09T18:47:27.048888+00:00" evidenceCount: 30 verifiedCount: 19 coverage: "dense" --- # 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. ## TL;DR Verdict **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:** Open Source Free forever `Free forever` · `No signup` · `Single-column best` · `No JSON export` ## Evidence (first-party, tested) *30 tested cells · 19/30 artifact-verified. Cite a cell by its Evidence ID, e.g. `ev:openresume·multi-column-sidebar-resume-priya-sharma·accuracy`.* | Criterion | Scenario | Verdict | Proof | Evidence ID | | --- | --- | --- | --- | --- | | Accuracy | Multi-column sidebar resume — Priya Sharma | ◐ mixed | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/openresume-o4-summary-wrong-1197c353ecbe.png) | `ev:openresume·multi-column-sidebar-resume-priya-sharma·accuracy` | | Accuracy | cross-scenario | ✗ failed | 👁 observed | `ev:openresume·cross·accuracy` | | Accuracy | Messy real-world resume — John Kumar | ✗ failed | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/openresume-o8-company-wrong-e3e7299ec5d3.png) | `ev:openresume·messy-real-world-resume-john-kumar·accuracy` | | Accuracy | Clean single-column resume — Rugved Nichite | ✗ failed | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/openresume-o3-gpa-in-date-field-50e69ddabe2d.png) | `ev:openresume·clean-single-column-resume-rugved-nichite·accuracy` | | Automation level | Clean single-column resume — Rugved Nichite | ✓ worked | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/openresume-openresume-tool-demo-video-edcdf81f39a7.mp4) | `ev:openresume·clean-single-column-resume-rugved-nichite·automation-level` | | Automation level | cross-scenario | ✓ worked | 👁 observed | `ev:openresume·cross·automation-level` | | Contact info — name, email, phone, location: exact match | Clean single-column resume — Rugved Nichite | ◐ mixed | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/openresume-openresume-free-open-source-resume-build-462b2244061e.mp4) | `ev:openresume·clean-single-column-resume-rugved-nichite·contact-info-exact-match` | | Custom field support | cross-scenario | ✗ failed | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/openresume-openresume-free-open-source-resume-build-462b2244061e.mp4) | `ev:openresume·cross·custom-field-support` | | Export | cross-scenario | ✗ failed | 👁 observed | `ev:openresume·cross·export` | | Export format | cross-scenario | ✗ failed | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/openresume-openresume-free-open-source-resume-build-462b2244061e.mp4) | `ev:openresume·cross·export-format` | | Field coverage | Clean single-column resume — Rugved Nichite | ✗ failed | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/openresume-o2-phone-empty-9d357c7ef89d.png) | `ev:openresume·clean-single-column-resume-rugved-nichite·field-coverage` | | Field coverage | cross-scenario | ✗ failed | 👁 observed | `ev:openresume·cross·field-coverage` | | Field coverage | Messy real-world resume — John Kumar | ◐ mixed | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/openresume-o7-education-failed-9f9f7dee6cc7.png) | `ev:openresume·messy-real-world-resume-john-kumar·field-coverage` | | Field coverage | Multi-column sidebar resume — Priya Sharma | ◐ mixed | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/openresume-openresume-free-open-source-resume-build-462b2244061e.mp4) | `ev:openresume·multi-column-sidebar-resume-priya-sharma·field-coverage` | | Free tier viability | cross-scenario | ✓ worked | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/openresume-openresume-free-open-source-resume-build-462b2244061e.mp4) | `ev:openresume·cross·free-tier-viability` | | Input handling | cross-scenario | ✓ worked | 👁 observed | `ev:openresume·cross·input-handling` | | Input handling | Multi-column sidebar resume — Priya Sharma | ✓ worked | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/openresume-openresume-tool-demo-video-edcdf81f39a7.mp4) | `ev:openresume·multi-column-sidebar-resume-priya-sharma·input-handling` | | Input handling | Clean single-column resume — Rugved Nichite | ✓ worked | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/openresume-openresume-tool-demo-video-edcdf81f39a7.mp4) | `ev:openresume·clean-single-column-resume-rugved-nichite·input-handling` | | Input handling | Messy real-world resume — John Kumar | ✓ worked | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/openresume-openresume-tool-demo-video-edcdf81f39a7.mp4) | `ev:openresume·messy-real-world-resume-john-kumar·input-handling` | | Messy resume handling | Messy real-world resume — John Kumar | ✗ failed | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/openresume-o9-jobtitle-empty-464540356fcf.png) | `ev:openresume·messy-real-world-resume-john-kumar·messy-resume-handling` | | Messy resume handling | cross-scenario | ✗ failed | 👁 observed | `ev:openresume·cross·messy-resume-handling` | | Multi-column handling | Multi-column sidebar resume — Priya Sharma | ✗ failed | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/openresume-o6-company-jobtitle-mismatch-03145f230bed.png) | `ev:openresume·multi-column-sidebar-resume-priya-sharma·multi-column-handling` | | Noise in output | Multi-column sidebar resume — Priya Sharma | ✗ failed | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/openresume-o4-summary-wrong-1197c353ecbe.png) | `ev:openresume·multi-column-sidebar-resume-priya-sharma·noise-in-output` | | Noise in output | Messy real-world resume — John Kumar | ✗ failed | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/openresume-openresume-free-open-source-resume-build-462b2244061e.mp4) | `ev:openresume·messy-real-world-resume-john-kumar·noise-in-output` | | Output format | cross-scenario | ✗ failed | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/openresume-openresume-free-open-source-resume-build-462b2244061e.mp4) | `ev:openresume·cross·output-format` | | Output quality | Clean single-column resume — Rugved Nichite | ✗ failed | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/openresume-input1-rugved-nichite-cleanresume-5354fbc53b64.pdf) | `ev:openresume·clean-single-column-resume-rugved-nichite·output-quality` | | Output quality | Multi-column sidebar resume — Priya Sharma | ✗ failed | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/openresume-input2-priya-sharma-multicolumnresume-471ac8d903f6.pdf) | `ev:openresume·multi-column-sidebar-resume-priya-sharma·output-quality` | | Output quality | cross-scenario | ✗ failed | 👁 observed | `ev:openresume·cross·output-quality` | | Output quality | Messy real-world resume — John Kumar | ✗ failed | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/openresume-input3-john-kumar-messyresume-12efbcc7cceb.pdf) | `ev:openresume·messy-real-world-resume-john-kumar·output-quality` | | Work experience — companies, titles, dates, task completeness | Clean single-column resume — Rugved Nichite | ✓ worked | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/openresume-openresume-free-open-source-resume-build-462b2244061e.mp4) | `ev:openresume·clean-single-column-resume-rugved-nichite·work-experience-completeness` | > 🧾 = artifact-verified (proof captured) · 👁 = observed (noted, no artifact) · verdicts: worked / mixed / struggled / failed. ## Observed fit by resume type Clean PDFs were usable for manual review; layout complexity quickly introduced field-mapping errors. - **1** Clean single-column PDF — Parsed instantly in the browser, but name, phone, and GPA placement still failed. - **2** Multi-column PDF — Company and job title merged, Summary copied the headline, and GPA again landed in Date. - **3** Messy PDF — Parsed without crashing, but education and work-history mapping broke badly; phone was only partially normalized. > **Useful as a free browser checker, but not a parsing API** > > 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. ## Demo Recording [Video: OpenResume demo recording (download MP4)](https://d3epheqghktydj.cloudfront.net/openresume-openresume-tool-demo-video-edcdf81f39a7.mp4) [▶️ Watch (streaming)](https://stream.futuresmart.ai/embed/725968b2-0500-4ea0-81cf-3d536c5a8247) *Video — Browser walkthrough of OpenResume parsing resumes in the UI.* ## Feature-by-Feature Breakdown ### Resume Parsing and Structured Field Extraction **Verdict:** Fast and convenient for human review, but not machine-readable. 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:** **Output:** ``` Accepted PDF directly. No signup required. Parsed instantly in the browser. ``` **Input:** Source resume > **Pdf** — Source resume **Output:** Observed result ``` Accepted PDF. Parsed in browser without errors. ``` **Input:** Source resume > **Pdf** — Source resume **Output:** Observed result ``` Accepted PDF. Parsed without crashing. ``` **Input:** Source resume > **Pdf** — Source resume **Output:** Observed result > **Image** — Observed result **Input:** Source resume > **Pdf** — Source resume **Output:** Observed result > **Image** — Observed result **Input:** Source resume > **Pdf** — Source resume **Output:** Observed result ``` Phone extracted as 9876543210, but the +91 country code was stripped. ``` **Input:** **Output:** **Input:** > **Pdf** **Output:** > **Image** **Input:** Source resume > **Pdf** — Source resume **Output:** Observed result > **Image** — Observed result **Input:** > **Pdf** **Output:** > **Image** **Input:** **Output:** ``` Objective statement extracted correctly into the Summary field. ``` **Input:** **Output:** **Input:** **Output:** **Input:** **Output:** **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:** **Output:** ``` Name, email, and LinkedIn URL were extracted correctly. ``` **Input:** **Output:** ``` Both work experiences extracted correctly with all bullet point descriptions preserved completely. ``` **Input:** **Output:** ``` Education extracted with degree and institution. ``` **Input:** **Output:** ``` Skills section extracted; certifications, references, and hobbies were all lumped into the same skills block since there were no separate section headers. ``` **Input:** > **Pdf** **Output:** ``` Email was extracted correctly and the LinkedIn URL was extracted correctly under the Link field. ``` **Input:** > **Pdf** **Output:** ``` Both work experiences were extracted correctly and the bullet point descriptions were preserved completely. ``` **Input:** > **Pdf** **Output:** ``` Professional summary extracted fully and accurately word-for-word. ``` **Input:** > **Pdf** **Output:** ``` Skills, certifications, and languages were extracted from the right sidebar, including English, Hindi, and Marathi. ``` **Input:** > **Pdf** **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. ## Pricing & access Fully free open-source project; no paid tiers were reported. | Plan | Price | Notes | | --- | --- | --- | | Open Source ★ (tested) | 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.* ## Is It Right For You? **Use it 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 it 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. ## Classification - **Category:** other - **Subcategory:** other - **Type:** other - **Built for:** Other ## Frequently Asked Questions **Q: Does OpenResume export JSON or provide an API?** 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. **Q: Is OpenResume free, and does it require signup?** 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. **Q: Which resume layout worked best?** A clean single-column PDF worked best. It parsed instantly and handled more of the resume correctly than the multi-column or messy layouts. **Q: What went wrong on the multi-column resume?** 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. **Q: How did OpenResume handle the messy resume?** 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. **Q: How did it handle Indian phone numbers and CGPA formats?** 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. ## Similar Tools AI tools similar to OpenResume: - [Affinda](https://aidemos.com/tools/affinda) — Best overall resume parsing API here for clean, multi-column, and messy PDFs with rich structured JSON. - [Airparser](https://aidemos.com/tools/airparser) — Parses clean, multi-column, and messy resumes into structured JSON, but email, title, and skill formatting still need validation. - [Extracta.ai](https://aidemos.com/tools/extracta-labs) — Schema-first resume parsing that stays lean and predictable across clean, multi-column, and messy PDFs. - [Skima AI](https://aidemos.com/tools/skima-ai) — Fast PDF resume parsing with dependable core fields and experience-year calculation, but weak structured output and supplemental coverage. - [LlamaParse](https://aidemos.com/tools/llamaparse) — Versatile PDF parsing for Markdown and structured JSON, with strong recovery but some fidelity drift - [Parseur](https://aidemos.com/tools/parseur) — Template-driven resume parsing that returns predictable JSON after one-time setup. - [HrFlow](https://aidemos.com/tools/hrflow) — HrFlow is an API-first resume parser that covers core fields well, but needs cleanup for phones, casing, and certifications. - [CVParserPro](https://aidemos.com/tools/cvparserpro) — Parses resume PDFs into structured candidate profiles quickly, but experience totals and education dates need manual review. - [Hireability](https://aidemos.com/tools/hireability) — Strong resume-to-JSON parsing on standard and messy single-column PDFs, but two-column layouts can break the result schema. - [Docparser](https://aidemos.com/tools/docparser) — Template-based resume parsing that works on one fixed layout, but breaks on varied resumes. ## Need a custom AI solution for this use case? If you are looking to build a custom resume parsing, field extraction, or candidate screening system for your business or internal workflow, email us at [contact@futuresmart.ai](mailto:contact@futuresmart.ai). ### Found something inaccurate or missing? We try to keep our AI research accurate and useful. If you found outdated information, an issue, or have a suggestion, email us at [collaborate@aidemos.com](mailto:collaborate@aidemos.com).