CSVM-1 · Career Video Intelligence

Career intelligence grounded in a real video — not generated from a prompt.

Point it at a real interview, coaching session, or recruiter talk. It extracts what was actually said — insights, skills, salary figures, evidence — then, if you ask it to, generates a narrated reel built from that same extracted content. Nothing in the output traces to nothing.

Create a developer account → Read the docs
This is not an avatar-generation platform. If what you need is a synthetic presenter reading a script, a HeyGen-style product is the right tool for that job. CareerVideo does something structurally different: it starts from a real video's real transcript, and every output — analysis or generated reel — stays traceable back to it.

What actually makes this different

Three real, checkable properties — not marketing language.

01

Extraction, not invention

Every insight in an analysis response is pulled from the video's real transcript — auto-fetched from YouTube or pasted directly. Nothing is inferred beyond what the content actually says.

02

Director Brain

Cinematic Reel generation isn't one prompt → one clip. A reasoning layer plans a multi-scene structure from your real extracted insight, then narrates and voices it — in the language you request.

03

Deep reasoning, opt-in

reasoning: true raises the model's effort tier for a genuinely hard video — longer transcript, denser content, more nuance to extract. Off by default, real added latency, never a fabricated shortcut.

How a request actually flows

Two real endpoints, one shared foundation.

Input
YouTube URL or pasted transcript
→
/v1/analyse
Structured career intelligence: insights, skills, salary data, evidence
→
/v1/cinematic
Director Brain plans scenes from that real extraction, narrates + voices
// Analyse a real video, in the language you request
curl -X POST https://api.careerstudiomax.com/api/csvm/v1/analyse \
  -H "Authorization: Bearer csvm_live_your_key" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://youtube.com/watch?v=...",
    "lang": "es", "langName": "Spanish",
    "reasoning": true
  }'

What we won't claim

We don't publish a flat "supports 100 languages" number, because it isn't one honest number: text-based analysis follows the same broad multilingual mechanism as the rest of CareerStudioMax's developer API, while narrated voice output is real, trained-voice narration in a specific, disclosed set of languages — see the docs for exactly which is which on each endpoint. reasoning: true makes the model try harder; it does not add a capability the model doesn't have.