First, some context: over the last six months, a bunch of tools using large language models for resume optimization have popped up. DeepResume is one of them, but I tried to keep this comparison as neutral as I could—judging purely on how each tool performs.
The test samples were 3 resumes at different quality levels (all anonymized):
- Resume A: New grad with one internship, written in typical student style
- Resume B: 3-year product manager, resume too vague
- Resume C: 5-year backend engineer, resume too long, projects all jumbled together
Dimensions I evaluated:
- Diagnosis accuracy: do the issues it flags actually matter?
- Rewrite quality: does the rewritten content distort or fabricate anything?
- ATS friendliness: is the output format actually suitable for submitting applications?
Tool 1: DeepResume (haojianli.me)
Core feature: Structured diagnosis + Q&A-driven rewriting—not fully automated rewrites.
Diagnosis performance:
All three resumes got detailed diagnostic reports after upload. The diagnosis covers overall score, quantified achievements, keyword coverage, ATS friendliness, and content completeness.
For Resume A (new grad), the report flagged:
- Internship lacks quantified metrics: "participated in project development" identified as weak evidence
- Keyword coverage at 35%, low compared to common campus recruiting roles
- ATS friendliness deduction: used a two-column layout
For Resume B (3-year PM), the report flagged:
- Phrases like "results were good" and "received recognition" identified as empty descriptions
- Missing a complete project loop from problem identification to outcome verification
- No signal of career growth between work experiences
For Resume C (5-year backend), the report flagged:
- Resume exceeds 2 pages, recommend trimming
- Most projects only list responsibilities, no outcomes
- Skill coverage too broad, lacking depth signals
Verdict: The problems it catches are on point. What I especially liked is that it explains why something is a problem and how you should fix it—not just telling you "this is bad" but giving you actionable rewrite directions.
Rewrite quality:
DeepResume doesn't spit out a "final version" directly. Instead, it asks you a few questions first—things like "how many users did this project serve?" or "what were the specific optimization metrics?"—and then generates a rewrite based on the facts you provide.
The clever part of this design: it prevents the AI from fabricating data. Facts you fill in are preserved; gaps you leave blank don't get filled with made-up numbers. There are three rewrite intensity levels (conservative / balanced / enhanced), and you can accept or reject each change individually.
The rewritten text doesn't sound overly fancy and generally keeps your original tone. Unlike some tools where it comes back reading like someone else entirely wrote it.
ATS friendliness: PDF export is server-side rendered, text is selectable, structure is clean. Supports DOCX export. Multi-language support.
Pricing: Free diagnosis + pay-per-use or package pricing, entry-level cost is quite low.
Tool 2: WonderCV
Core feature: A veteran resume tool with a rich template library, later added AI scoring.
Diagnosis performance:
WonderCV's AI diagnosis was added later as a feature, and its underlying logic leans more toward "resume completeness"—checking whether you've filled in all the fields and whether the formatting is proper.
For Resume A, the feedback was mostly: no cover letter, internship experience too thin, suggest adding projects.
For Resumes B and C, the feedback was relatively shallow: basically generic advice like "suggest adding data to back this up" and "try the STAR method." The issues aren't wrong, but they're not specific enough. For example, it can spot the directional problem of "not enough data," but it can't pinpoint which specific experience is missing what specific data.
Verdict: Better suited for resume formatting and template-level optimization. Deep diagnosis falls short compared to dedicated AI tools.
Rewrite quality:
WonderCV's "AI Rewrite" is mainly template-filling—it stuffs your content into a STAR format and outputs a version that looks tidy.
The problem: during this process, the AI fills in some details on its own. You write "participated in the project," and it rewrites to "led project planning and implementation"—the latter is not what you wrote, it's what the AI inferred. You'll need to manually verify every line for factual accuracy.
The overall language style leans toward formal boilerplate. Rewrites of different resumes all come out with roughly the same tone.
ATS friendliness: The templates themselves are designed to be ATS-friendly—single-column layout, standard headings. This is a plus. PDF export works fine.
Pricing: Templates free to use; premium features (AI diagnosis, AI rewrite, PDF export) require a membership, priced mid-to-high.
Tool 3: Utools (ZhiTu Resume)
Core feature: A tutorial-driven tool, focused on "teaching you how to write" rather than "writing for you."
Diagnosis performance:
Utools' diagnosis feels more like a "checklist"—checking whether your resume includes must-have sections like career objective, education, work experience. Its in-depth content analysis isn't particularly strong.
For Resume A, feedback: no career objective, suggest adding project experience.
For Resumes B and C, feedback: mostly format-level suggestions (font, line spacing, page count), not very granular on content.
Verdict: Utools' strength is in resume education and templates, not AI diagnosis. Its community and tutorial content are the richest of the three tools.
Rewrite quality:
Utools has its own "resume optimization" feature, which is more of a human + template hybrid. The AI rewrite portion is conservative—modifications are minimal, often just restructuring sentences.
For resumes that are poorly written to begin with, the improvement is limited. But the upside: it almost never rewrites existing facts and won't randomly add things. In terms of safety, it's the best of the three.
ATS friendliness: Most templates are single-column, ATS-friendly. PDF export works fine.
Pricing: Basic features free, premium features require membership, mid-range pricing.
Side-by-Side Comparison
| Dimension | DeepResume | WonderCV | Utools |
|---|---|---|---|
| Diagnosis depth | ★★★★☆ Spots specific issues with improvement direction | ★★★☆☆ Finds issues but not specific enough | ★★☆☆☆ Leans format-checking |
| Rewrite truthfulness | ★★★★★ Q&A-driven, no fabricating facts | ★★★☆☆ May auto-fill details | ★★★★☆ Conservative and safe |
| Rewrite quality | ★★★★☆ Preserves your personal tone | ★★★☆☆ Style feels uniform across resumes | ★★★☆☆ Small modification scope |
| ATS friendliness | ★★★★☆ Server-rendered PDF | ★★★★★ Templates inherently ATS-friendly | ★★★★☆ Templates are friendly |
| Ease of use | Low barrier, upload and go | Low barrier, template-based workflow | Low barrier, rich tutorials |
| Best for | People who want deep content optimization | People who care more about formatting | Beginners learning the ropes |
Some Honest Thoughts
These three tools don't actually target the exact same user. WonderCV is better for building a new resume starting from a template, and Utools is better for complete beginners who don't know where to start and want to follow a tutorial.
DeepResume's design approach is different: you already have a resume, but you feel it's not good enough—you want to optimize it but don't know where to begin. That's why its diagnosis and rewrite features go deeper, and the Q&A-driven design ensures it won't fabricate your experience.
But DeepResume's downsides are also clear: limited template selection, no community content, and far less brand recognition than the other two. If you're coming in thinking "I want to pick a nice-looking template first," WonderCV might be more your speed.
For most job seekers with 1–5 years of experience, my suggestion is: start with a free comprehensive resume diagnosis from any tool to understand where your problems actually are (whether that's DeepResume's diagnosis or another tool's—up to you), then go in and fix things surgically rather than jumping straight to applying a template.
DeepResume's free diagnosis is worth a try—it costs nothing.