About this lesson
This lesson gets the words out of a recording: a transcript, a subtitle file, or subtitles burned into the video. You'll transcribe the lighthouse narration with Gemini 3.5 Transcribe, fix the SRT file by hand, and burn subtitles into a video with Scenario Caption Studio. It's also the fastest way to check any speech you generate. The models and settings in this lesson are as of November 2026.
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- Get a transcript, an SRT file or burned-in subtitles from any recording, and fix them before they ship.
- Choose the output first; prefer an SRT over burned-in text when the platform accepts files.
- Transcription starts in Create > Text; a short transcript is one of the cheapest runs and checks any generated speech.
Step by step with an agent, through the Scenario MCP (6 steps)Hide the steps
Connect the Scenario MCP
Connect your agent and sign in once at mcp.scenario.com. Then tell it which Scenario team and project to use, so every file lands there.
Give the agent the recording
The audio or video to transcribe: upload it with upload_asset or give its asset ID. Add the names and invented words it should spell your way.
Brief the agent: the transcript and the SRT
PromptTranscribe my recording with Gemini 3.5 Transcribe (model_google-gemini-3-5-transcribe), reading model_schema_get first for the parameter names. Language hint en-US, custom vocabulary: Keeper. Word timestamps on; speaker diarization off (on if it's a dialogue). I want the text and the SRT. Quote the cost with a dry run first and wait for my go.Fix the SRT
PromptWait for the job with jobs_wait and download the SRT with asset_download. Show me the transcript against my script, if I gave you one, and list every word that differs. Then split every subtitle longer than about seven seconds at a comma or a breath, one or two short lines each, keep the numbering in order, and write numbers one way throughout. Show me the fixed SRT before anything else.Burn in, only if the platform needs it
Deliver the SRT file when the platform takes one. Burn in only when it can't, and watch the result on the target device.
PromptBurn the subtitles into my video with Scenario Caption Studio (model_scenario-caption-studio), reading model_schema_get first. Style preset Modern Chip, target language Auto. If the schema takes an SRT, upload my fixed SRT with upload_asset and use it for the text and timing. Quote the cost with a dry run first and wait for my go.Check and report
Accept when every word matches, names are spelled your way, numbers are written one way and each subtitle is short enough to read. Reject a wrong or missing word, swapped speaker labels or burned-in text over an important part of the picture.
PromptCreate a collection with the recording, the transcript, the fixed SRT and the subtitled video, and report the models, the settings and every asset ID.
Step by step in the web app (6 steps)Hide the steps
Open the transcription model
Create › Text › Gemini 3.5 Transcribe. Under Audio, drag and drop the recording, click Select from Library, or Upload.
Help it with names and language
In Language hints, type a code such as en-US and click Add; in Custom vocabulary, add names and invented words one at a time, here Keeper. Keep the list to distinctive terms.
Choose the settings and generate
Under Settings, turn on Speaker diarization for dialogue and Word timestamps for subtitles; either one lowers the longest file from 60 minutes to 30. Generate gives a text file and an SRT.
Fix the SRT by hand
Open the SRT in any text editor, fix words in place and split long subtitles at a breath, each on screen for about seven seconds at most, with its own number and time range. Write numbers one way throughout.
Burn subtitles into the video
Pick Auto Subtitles or Scenario Caption Studio and add the video under Input Video. In Caption Studio: Style Preset Modern Chip, Translation › Target Language Auto, and Subtitles (SRT) for a fixed SRT; then watch the result on the target device.
Prefer a file where you can
If the platform takes an SRT, deliver the SRT: you can fix it any time. Burned-in subtitles can't be turned off or corrected without generating the video again.

