WhisperTranscript: Transcribe
WhisperTranscript.ai v1.0.2
Transcribe audio and video
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Description
From the marketplace listing
WhisperTranscript brings audio and video transcription into ChatGPT, converting recordings into searchable text and timestamped subtitles. Use it to turn spoken content into a written record you can review, revisit, and share. For meetings, turn a recording into a written reference for reviewing recorded discussions, questions, and decisions. Refer back to the transcript when preparing your own notes or reviewing a particular exchange. For interviews, convert recorded conversations into text that helps you review questions and responses. Speaker labels, when available, can make it easier to follow who contributed to the conversation. For lectures and study recordings, create a text reference you can read alongside your learning materials. For podcasts and other recorded content, review spoken passages and work with completed transcripts or timestamped subtitles. To begin, select an audio or video recording in the WhisperTranscript widget. Start transcription and track its progress. Once the job is complete, view the returned transcript and subtitle output in the workspace. Transcripts provide a readable text version of the spoken content, while timestamped subtitles include timing information for following the sequence of speech. Use the completed text as a reference for your own notes, follow-up questions, or content review. Revisit recent recordings to return to earlier transcription work. Review completed results and share finished transcripts or captions. This helps you move from an audio or video recording to text you can refer back to during study, discussion, or content preparation. Select media through the WhisperTranscript widget. Files attached directly to the chat are not supported by this plugin.
Language: English · Automatically detected from descriptions.
Competitor profile
From the developer’s listing and package; capabilities are not independently tested. Package observed Nov 3, 2026.
Declared capabilities
- Transcribe audio recordings
- Transcribe video recordings
- Convert speech to text
Declared limitations
- Unrelated weather request
- Edit text already pasted in chat
- Unauthorized access to another account’s transcript
Review scenarios; not an exhaustive list.
Cost & access
Pricing and account requirements have not been established from the available package declarations. Unknown pricing does not mean free access.
Starter prompt
Open WhisperTranscript so I can transcribe a meeting recording.
Keywords
Matches for “exchange rate history”
Exact text from the indicated source. A mention alone does not establish support for your task.
Publisher capabilities · listing
Transcribe audio recordings Transcribe video recordings Convert speech to text Generate timestamped subtitles Transcribe meeting recordings Transcribe interviews Transcribe lectures and lessons Transcribe podcast episodes Track transcription progress Browse recent transcription history Review completed transcripts Share transcripts and subtitles
Publisher full description
WhisperTranscript brings audio and video transcription into ChatGPT, converting recordings into searchable text and timestamped subtitles. Use it to turn spoken content into a written record you can review, revisit, and share. For meetings, turn a recording into a written reference for reviewing recorded discussions, questions, and decisions. Refer back to the transcript when preparing your own notes or reviewing a particular exchange. For interviews, convert recorded conversations into text that helps you review questions and responses. Speaker labels, when available, can make it easier to follow who contributed to the conversation. For lectures and study recordings, create a text reference you can read alongside your learning materials. For podcasts and other recorded content, review spoken passages and work with completed transcripts or timestamped subtitles. To begin, select an audio or video recording in the WhisperTranscript widget. Start transcription and track its progress. Once the job is complete, view the returned transcript and subtitle output in the workspace. Transcripts provide a readable text version of the spoken content, while timestamped subtitles include timing information for following the sequence of speech. Use the completed text as a reference for your own notes, follow-up questions, or content review. Revisit recent recordings to return to earlier transcription work. Review completed results and share finished transcripts or captions. This helps you move from an audio or video recording to text you can refer back to during study, discussion, or content preparation. Select media through the WhisperTranscript widget. Files attached directly to the chat are not supported by this plugin.
Files & skills
File archives
Skill instructions
whispertranscript-help2.95 KB
--- name: whispertranscript-help description: Help users open WhisperTranscript's transcription or subtitle widget, review their recent recordings and results, and understand upload, account, and sharing boundaries. --- # WhisperTranscript help Use the connected WhisperTranscript MCP tools for the user's recording workflow. Keep answers in the user's language and describe only actions and results that the tools or widget actually completed. ## Start a recording workflow - For a new transcript, call `transcribe`. For timed captions, call `subtitle-generator`. - These tools open the widget. They do not upload media or create a job. After a successful open, reply briefly and tell the user to select or drag the audio or video file inside the widget. Do not add a website link or a hypothetical fallback paragraph to that reply. - Files attached to the ChatGPT conversation are not imported by this plugin. The user selects media inside the widget. - The widget handles upload, job creation, and progress polling. Do not call `get-upload-url` or `insert-transcription-record` on the assistant's behalf for a normal widget upload. - A visible widget proves only that the workspace opened. Do not claim a recording was uploaded, processed, or transcribed until the widget or a result tool reports it. ## Read and manage existing work - Use `get-filelist` to show the connected user's recent recording jobs. It does not inspect the user's computer or another account. - Use `get-transcription-result` only with a known `fileId`, such as the exact id the user selected from `get-filelist`. Present the returned status and content faithfully; preserve returned subtitle timings when the user asks about captions. - Use `share-transcription` only when the user asks to share a selected completed result. The returned link gives anyone holding it read access to the shared transcript or subtitles. Do not claim it grants audio playback or download. - Before `delete-transcription`, identify the exact selected record and obtain explicit confirmation. `deleteAll` affects every current record and requires a separately clear request and confirmation. - `get-user-preferences` and `set-user-preferences` concern the widget's saved language and coarse access state; they are not billing or account-management tools. ## Answer common questions - Transcription and subtitle availability depend on a connected account, available access, and processing completion. Treat a pending or failed job as such. - Speaker labels, summaries, and timed cues should be described as available only when returned for the particular recording. - For plain text already pasted into chat, edit, summarize, translate, or reformat it directly; do not open a recording widget merely because the text mentions transcription. - If the user reports that the widget itself did not render, first acknowledge that actual failure and help them retry or diagnose it. Do not preemptively add recovery links to a successful widget-opening reply.
Release notes
Adds 12 capability labels from the updated WhisperTranscript listing CSV. Keeps the corrected brand icons and remote MCP server declaration.
Declared in the saved package. Remote tools may change independently.
Package details
Publisher declarations from the archived package. These are separate from our research and the live service's terms.
- Package author
- WhisperTranscript.ai
- Keywords
- See keywords
- Review scenarios
- 5 positive · 3 negativeScenario counts, not test results.
Declared capabilities
- Transcribe audio recordings
- Transcribe video recordings
- Convert speech to text
- Generate timestamped subtitles
- Transcribe meeting recordings
- Transcribe interviews
- Transcribe lectures and lessons
- Transcribe podcast episodes
- Track transcription progress
- Browse recent transcription history
- Review completed transcripts
- Share transcripts and subtitles
Package observed Nov 3, 2026.
Technical details
- First seen
- Oct 28, 2026 · 12:00 UTC
- Last seen
- Nov 3, 2026 · 18:00 UTC
- Collection status
- Collected
plugin_asdk_app_6ace1d7f19748191a7d6d965bb8d7311
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