Find where viewers leave, why they leave, and what to edit.

DropFix pairs YouTube Studio retention with the matching transcript, turns each behavior change into a timestamped edit decision, and exports a brief an editor can use.

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Judge Demo (One click)

See the complete evidence-to-edit workflow in under 30 seconds:

READY

Loads a matching transcript and clearly labelled synthetic retention data
Detects a timestamped behavior change and opens the first editor action
Shows the evidence, confidence, and validation path behind the recommendation
Lets you accept the edit and export an editor-ready brief

Sample data demonstrates the live workflow only. Import a Studio CSV for creator-specific findings.

Untitled project

Next step

Add a transcript or load the demo, then run analysis.

Inputs: ready.

Analysis: add source and run analysis to unlock.

Suggestions: run analysis first.

Export: complete Suggestions first.

0/4 complete

Workflow: 0/4 Step: Inputs Segments: 0 No source loaded

Start here

Choose a goal, add the transcript, then import Studio data if available. Run analysis connects the evidence to editable moments.

Creator profile Primary goal Input mode Transcript content

Upload selected source

Transcript

Transcript guidance is ready. Import a YouTube Studio CSV to add real retention and packaging evidence to this project.

Use real YouTube Studio evidence

Choose YouTube Studio CSV (real analytics) above.
Upload a CSV with elapsed time and audience retention columns. CTR, impressions, views, and watch time are optional.
Paste or upload the matching transcript, then run analysis to connect a behavior change to an editable moment.

Important: labelled demo data proves the browser workflow. Only your imported Studio data can support creator-specific findings.

Auto-clean transcript (remove filler words)

Paste transcript text, upload a file, or use sample. Then click Run analysis.

No parsed segments yet. Use Run analysis after loading text.

Need file upload instead?

Drop .txt, .srt, .vtt, or .csv

Drop in your subtitle file and we'll auto-extract timing + segment boundaries.

Quality and confidence

Confidence: not calculated.

Live ingestion health

DropFix is waiting for input.

Profile state

Standard Creator selected.

Retention signalTranscript momentEdit decision

Evidence timeline

Waiting for evidenceImport Studio data in Inputs

Upload a matching transcript and YouTube Studio CSV to place content and viewing evidence on one timeline.

Detected behavior signals

Analyze a transcript with Studio evidence to detect timestamped signals.

Optional transcript scoring controls

Scoring mode presets

Adjust scoring weights

Hook strength 34

Retention risk 28

Clarity 18

Pacing balance 12

Novelty 8

Weights total: 100

Transcript structure score

No run yet.

Top scoring explanation

Adjusting these controls reranks transcript candidates; it does not change imported retention evidence.

Your editing decision queue

Evidence before advice

Each recommendation separates what DropFix observed in your transcript from the edit it suggests. Connect channel analytics later to strengthen behavioral confidence.

Data quality: transcript-only

Useful for structure and clip selection. Retention and CTR evidence are not connected in this browser demo.

Run analysis to build your first editing decision queue.

Optional: title, description, and SEO tools

Metadata suggestions

Suggestions depend on analyzed transcript and profile.

Metadata + SEO assistant

Tone preset

Description length

Include hashtag block

A/B title options

Description variants

SEO tags

Generate metadata only after analysis for transcript-aware output.

Editor-ready outputs

Export package summary

No export-ready data yet. Analyze a transcript to unlock handoff artifacts.

Run analysis, then use Suggestions to finalize SEO before exporting judge packets.

Handoff status: analysis required.

Judge-readiness checklist

Handoff activity log

No handoff actions yet.

Hackathon evidence tools

Handoff mode

No verdict yet

Switch mode to update the verdict + CSV row header for quick judge/creator comparisons.

Submission evidence rubric

Run analysis to assess observable proof against the four hackathon criteria.

No evidence rubric available.

Judge-ready proof points

What this implementation proves for real judging:

Upload or paste transcripts and parse them into analysis-ready segments entirely in-browser.
Run explainable clip scoring, tune weighting, and persist workflow state automatically.
Generate title, description, and tag recommendations for practical creator handoff.
Export judge artifacts (scorecard, verdicts, CSV row, and packet) with one-click copy/download.
Track every handoff action with timestamped evidence for transparent review.

Built for clients and judges

This is a complete front-end workflow: load source text, tune scoring strategy, review explainable recommendations, then export a handoff package. It is production-style, stable, and browser-first.

Account and saved workspaces

Your work is saved in browser local storage by account. Sign in to move your projects to a persistent account key. Guest mode stays local and private to this browser profile.

Local account mode: sign in with email and optional name.
Guest mode: quick start with local-only storage.
All workspace data is available instantly across pages once you sign in.