Introducing ResumeUp.AI — AI resume & job search co-pilot

ResumeUp.AI helps students and professionals land interviews faster. Build ATS-ready resumes in minutes, tailor them to any job in one click, get an instant score against the JD, generate cover letters, optimize your LinkedIn profile, and track every application - all in one place.

Why we built it?

Great candidates were getting filtered out by ATS and inconsistent formatting and not targeting to JD. We turned years of hiring and resume-review patterns into software that fixes the invisible blockers: structure, keywords, relevance, and clarity.

What you can do

1. Build clean, ATS-friendly resumes with AI (ATS templates, PDF and word export).
2. Tailor to any job post with one click (skills, titles, keywords aligned).
3. ATS score check to fit instantly with actionable fixes.
4. Write personalized cover letters from your resume + JD.
5. Optimize LinkedIn: headline, summary, skills, and keyword density tips.
6. Track jobs in a simple dashboard (status, deadlines, notes).
7. Fix with AI: one-tap edits for weak bullets, gaps, and fluff.
8. Auto-fill job applications and save tons of time filling forms.

How it works (3 steps)

1. Import or paste your resume and a job description and rewrite with AI.
2. Get an ATS score and prioritized recommendations.
3. Apply with confidence: export the tailored resume + cover letter, and log the application.

Trusted by 97,000+ users and growing, with partnerships across colleges and career coaches.

Stop guessing what recruiters or ATS want. ResumeUp.AI shows what to fix and does the heavy lifting for you.

TranscriptFetch is one API for getting text out of video and web content.

Send a URL from YouTube, TikTok, Instagram, X or Facebook and get back clean, timestamped text. Send any web page and get clean Markdown. One endpoint, one response shape, one API key.

The part that actually matters

Most short-form video has no caption track to download. TikTok's auto-captions are opt-in per upload, Instagram never publishes a downloadable track, and a large share of captions on both platforms are burned into the video frames where no parser can read them.

When there is no caption track, TranscriptFetch transcribes the audio instead. Same endpoint, same response, so your code never branches on which method produced the text.

What you get back

• A joined text field for feeding a model or a search index
• A segments array with per-cue start times and durations, so subtitles and jump-to-moment links are a formatting step rather than another integration
• Consistent output whether the text came from captions or speech recognition

Built for pipelines and agents

• MCP server so Claude, Cursor and other MCP clients can fetch transcripts as a tool mid-conversation
• Python and JavaScript SDKs
• Batch endpoint for up to 50 videos in a single call
• Channel, playlist and keyword-search endpoints for ingesting at scale

Pricing

100 free credits on signup, no card required. One credit per successful response. Failed, blocked and empty results are never charged, which matters on short-form video where a meaningful share of any batch is music with no speech in it.