Turn a supported public video link into an editable transcript with timestamps. Search the result, add speaker context, and export text, documents, structured data, or subtitle files from one workspace.
Supports public links from YouTube, Vimeo, TikTok, Instagram, Facebook, Twitch, DailyMotion, Rumble, Kick, Zoom, and Google Drive.
Direct answer
A dependable AI video transcript combines a strong speech-recognition first draft with timing, source access, and human verification. Whisper AI processes the spoken track from a supported public link, produces searchable timed segments, and provides editing and export tools for text, documents, JSON, SRT, and VTT. Optional speaker detection can separate voices, but its labels represent acoustic clusters rather than confirmed identities. Accuracy varies with microphone quality, echo, music, accents, overlapping speech, names, numbers, and specialist vocabulary, so the model output should not be treated as an infallible legal or factual record. Review important passages against the player, retain timestamps with quotations, and preserve the source transcript when creating summaries or translations. Choose a public link only when the media is accessible without credentials; use the upload workflow for private recordings you are authorized to process, and remove saved tasks when they no longer serve a legitimate purpose.
Use a public platform link when the video is accessible without credentials, switch to Video for a local upload, or use the main speech-to-text workspace for a new browser recording. The input route changes how media is accessed, not the need for permission and review.
Choose an input routeSpeech recognition creates a timed text draft. Summaries, topic analysis, action items, answers, and transcript chat interpret that draft. Keep the source transcript and recording available so fluent AI conclusions can be checked against what was actually said.
Build a reviewable transcriptSearchable segments let another reviewer replay a name, figure, commitment, or quotation in context. Preserve those references for research and high-stakes decisions rather than copying isolated text into a document with no route back to the source.
Keep source contextSelect a known language or let Scribe v2 detect it. When translation is needed, retain the reviewed source transcript beside the translated reading copy so terminology, names, and culturally specific phrasing remain traceable.
Work across languagesSearch and edit inside the workspace, then export TXT for reading, DOCX for collaboration, JSON for structured processing, or SRT and VTT for caption workflows. Review every downstream format for its own accessibility and accuracy requirements.
Prepare an exportFind words and move through long recordings by timestamp.
Signed-in accounts receive plan-based credits for transcription tasks.
Separate voices when a conversation needs clearer attribution.
Process speech across a broad range of source languages.
Edit, search, bookmark, and keep recent revisions in the workspace.
Create documents, plain text, caption files, and structured JSON.
Use a public video URL, or switch to Video when you have a local file.
The resolver obtains the media stream and speech recognition creates timed text.
Search, correct, enrich, and export the transcript for your next workflow.
The universal tool handles several platforms, but accuracy, access, and responsible reuse still depend on decisions made before and after the model runs.
Paste a public platform URL when the media resolver can access it without credentials. Upload a local file when the recording is private and you have permission to process it. Use browser recording for a new capture that you control. Choosing the right path avoids sharing access tokens, prevents broken expiring links, and preserves better metadata for the finished task.
Language selection reduces ambiguity when you know what is spoken. Speaker detection is valuable for conversations but unnecessary for a single narrator. Advanced vocabulary helps with names, acronyms, and technical terms. These settings shape the first draft, while editing, timestamps, and playback provide the human verification needed for a dependable final result.
The transcript records recognized speech; summaries and analytics interpret that text. Both stages can make mistakes. Keep the source transcript available when reviewing an AI-generated decision, risk, sentiment, or answer. For important work, cite the relevant timestamp and let a responsible person confirm that the interpretation matches the recording rather than relying on a fluent-sounding output.
A downloadable transcript can be easier to search, forward, and copy than the original video. Apply appropriate account permissions, retention periods, and secure delivery methods. Avoid uploading content you are not allowed to process. Delete old tasks and duplicate exports, and use human review for legal, medical, financial, employment, or other high-stakes recordings.
Related resources
Upload private files, record in the browser, edit transcripts, and manage exports.
Transcription accuracy guidePrepare audio and review names, numbers, speakers, and specialist vocabulary.
Transcription pricingCheck current plan allowances, minute packs, and the free account allowance.
FAQ
You can start with account credits. Processing cost depends on recording duration and whether speaker detection or paid AI tools are used.
The resolver targets major public video platforms and direct media links. Access restrictions and platform changes can affect individual URLs.
Yes. Open the Video tab to upload common audio and video formats up to the current file-size limit.
Yes. Finished tasks include search, editing, timestamps, bookmarks, and export controls.
Provider failures are recorded, and consumed transcription credits are automatically refunded when the provider reports a terminal failure.
Paste a supported public link and turn the spoken track into text that is easier to review, edit, and export.
Start transcribing