Video to Text by ngram
Video to Text Demo and Webinar Transcripts
Drop a video file or click to upload
MP4, MOV, WebM - screen recordings, demos, webinars, talking heads all work
What it does
Upload an MP4, MOV, screen recording, or webinar replay. ngram pulls the speech track, transcribes it with AssemblyAI, and keeps each line tied back to the original frame so the transcript is ready for captions, clips, scripts, translation, and a finished video edit.
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How it works
From a video file to working text.
Upload the video, run AssemblyAI transcription on the speech track, review the transcript next to the playhead, and keep the same project ready for captions, clips, and full edits.
Upload the video
Start with a screen recording, product demo, webinar replay, interview, lecture, or business video that contains spoken audio.
Video uploaded
Generate the transcript
ngram extracts the speech track and runs it through AssemblyAI. Each line of text lands with a timestamp tied back to the matching second of the video.
Transcript ready
Review the words against the video
Scrub through the transcript next to the player, fix product names and acronyms, and click a line to jump straight to that moment in the video.
Transcript polished
Move into captions, clips, or edits
Use the transcript to drive burned-in captions, pull highlight clips from the matching frames, translate the script, or continue into a polished video edit in the same project.
Connected to video
What it can do
What you can do with the video transcript.
Transcription is the entry point. Each line stays anchored to a video timestamp, so the text drives caption timing, clip selection, and edit decisions.
Get an editable text transcript
AssemblyAI returns the full speech from the video as text you can review, search, copy, correct, and reuse - not a flat PDF you have to retype to edit.
Keep every line tied to a frame
Timestamps on each transcript line link directly back to the video position, so clicking a quote jumps the player to the matching second.
Search the recording by words
Once a long screen recording or webinar is text, finding the question that was asked, the metric that was quoted, or the moment a feature was shown takes seconds instead of scrubbing.
Use the transcript as a caption track
Push the transcribed lines straight into timed, brand-styled captions and burn them into the same video without re-typing the script.
Learn more about CaptionsCut clips from transcript moments
Highlight a sentence in the text, and the editor selects the matching video segment so the strongest 30 seconds can become a social clip.
Translate the video from the transcript
Use the timestamped transcript as the base for translated captions, on-screen text, and multilingual voiceover when the video needs a localized version.
Learn more about TranslationBuilt for video files, not just text deliverables
When it matters
Workflows that start with a video transcript.
Nine ngram use cases where a video file needs to become editable text before the team can summarize, caption, clip, translate, or republish what was said on screen.
Meeting Recap Video
Transcribe the meeting recording, scan the text for decisions and action items, then ship a short captioned recap video for everyone who missed the call.
Open AI video use caseWebinar Clips
Convert the full webinar video into a timestamped transcript, find the strongest moments in the text, and cut captioned social clips from the matching frames.
Open AI video use caseCustomer Testimonial Video
Transcribe a raw customer interview video, pull the strongest proof points straight from the text, and assemble a testimonial cut around those quoted seconds.
Open AI video use caseSales Demo Followup Video
Run the demo recording through video to text, lift the buyer questions and objections from the transcript, and answer them on camera in a short follow-up video.
Open AI video use caseCS QBR Video
Transcribe the QBR recording, find the metrics, commitments, and next steps in the transcript, then send a captioned summary video to absent stakeholders.
Open AI video use caseInternal Communication Video
Convert leadership videos, all-hands replays, and async screen-shared updates into transcripts so internal messages become searchable, captioned, and shareable.
Open AI video use casePM User Research
Transcribe user interview videos, pull the words customers actually used out of the transcript, and share quoted clips with engineering and design.
Open AI video use caseDevRel Conference Talk Video
Turn the recorded talk video into a transcript, then carve tutorials, docs assets, and captioned clips out of the highest-value moments on stage.
Open AI video use caseEducator Lecture Recap Video
Transcribe the lecture video, trim the long passages to short recap segments, and publish a captioned study video students can rewatch alongside their notes.
Open AI video use caseProduct stack
Features that move the video transcript into finished video.
Video to text is the entry point. These ngram features take the transcribed speech into burned-in captions, scripts, translated cuts, and a polished export.
Captions & Subtitles
Push the video transcript into timed captions on the same video, edit timing line by line, and style the subtitles with brand fonts before burn-in.
Learn more about Captions & SubtitlesScreencast Understanding and Editing
Pair the video transcript with the matching screen recording so demo walkthroughs pick up on what was said and what was shown frame by frame.
Learn more about Screencast EditingScript Generation
Use the raw video transcript as source material for a structured script and storyboard with a tightened hook, body, and CTA shaped to the audience.
Learn more about Script GenerationTranslation & Localization
Translate the timestamped transcript, captions, and on-screen text, then regenerate localized voiceover so the same video ships in several markets.
Learn more about TranslationVideo Editing
Continue from transcript to scenes, audio, captions, callouts, and motion in the same editor with timeline, canvas, and chat controls on the same video file.
Learn more about Video EditingAI Voiceover
Replace the rough original voice on the video with a cleaner branded voiceover generated from the polished transcript, useful when the speaker was off-mic.
Learn more about AI VoiceoverMulti-Format Export
Render the transcribed and captioned video as MP4, GIF, WebM, or channel-ready aspect ratios for LinkedIn, YouTube, Reels, and embedded players.
Learn more about Multi-Format ExportCollaboration
Share the video transcript and matching clips inside a team workspace so reviewers can comment on the words and the frames in one place.
Learn more about CollaborationMore tools
More tools for transcript-led video work.
Use these around video to text when the recording needs to be captioned, clipped, translated, or rebuilt as a polished edit.
Caption from the video transcript
Turn the transcribed speech into timed, styled captions on the same video
Add Subtitles to Video
Generate burned-in subtitles from the video transcript, edit timing line by line, and style captions with the brand kit before export.
Open toolAuto Subtitle Generator
Convert the video to text and timed subtitles in one pass, then review the words, breaks, and timing before they burn into the file.
Open toolVideo Caption Generator
Build animated short-form captions from the transcript when a long video gets cut into LinkedIn, Reels, or Shorts clips.
Open toolRepurpose the transcribed video
Use the text to drive scripts, translation, clipping, and edits
Video Script Generator
Reshape the raw video transcript into a cleaner script with a tightened hook, body, and CTA before recording or rendering the next version.
Open toolVideo Translator
Localize the video using the transcript as the base for translated captions, on-screen text, and multilingual voiceover.
Open toolVideo Cutter
Trim the source video down to the strongest sections once the transcript shows where the highlight moments actually sit on the timeline.
Open toolVideo Editor
Edit the transcribed video on a full timeline with captions, audio, callouts, and chat-driven changes in the same project.
Open toolAdjacent speech-to-text paths
Other places to start when the source is not a standard video file
Audio to Text
Use this when the source is an audio-only file - podcast, voice memo, phone call - rather than a video that needs visual context preserved.
Open toolScreen Recorder
Record a fresh walkthrough in the browser when you need a new video to transcribe instead of working from an existing file.
Open toolRemove Background Noise from Video
Clean the audio track inside the video before transcription so the resulting text needs fewer corrections on names and technical terms.
Open toolConvert
Converters that pair with the video transcript.
Once the video is text, these converters feed the transcript into a finished video or take the source recording the rest of the way to a publish-ready cut.
Screen Recording to Video
Combine the transcribed narration with the screen recording to ship a captioned walkthrough with zooms, callouts, and brand polish.
Open converterWebinar to Clips
Use the long-form webinar transcript and timestamps to cut captioned social clips from the matching seconds of the original video.
Open converterVideo to Audio
Pull the clean speech track out of the source video first, then run video to text on the isolated audio for a tighter transcript.
Open converterWho it is for
Teams that work from recorded video.
These solution and use-case pages show how product, customer success, sales, DevRel, education, and creator teams turn video recordings into reusable assets.
Customer Success
Transcribe onboarding sessions, QBR videos, and customer call recordings, then build captioned recap and education videos around the strongest moments.
See CS workflowsProduct Managers
Convert user interview videos and research recordings into searchable transcripts so the team can find customer language and share quoted clips.
See product workflowsSales Enablement
Run demo and discovery recordings through video to text to capture the buyer's exact words, then build follow-ups and enablement clips on top of the transcript.
See sales workflowsProduct Marketing
Use webinar, interview, and demo video transcripts to shape launch clips, customer story videos, and proof-led sales enablement assets.
See product marketing workflowsDeveloper Relations
Transcribe conference talk recordings, livestreams, and tutorial videos, then turn the text into docs assets, clips, and developer education content.
See DevRel workflowsSupport Teams
Convert recorded support calls and screen-share sessions into transcripts to spot recurring questions, then build captioned help videos around the answers.
See support workflowsEducators
Transcribe lecture recordings, seminar videos, and lab walkthroughs into timestamped text that powers recap videos, captioned study clips, and translated cuts.
See educator workflowsGrowth Marketing Teams
Repurpose webinars, launch assets, and campaign source material into channel-ready business video.
See growth marketing workflowsIntegrations
Bring videos in, send transcripts and clips out.
These live ngram integrations route incoming video files into transcription and push the resulting transcripts, captioned cuts, and clips back to the channels your team already uses.
Zapier
No-codeWhenA new video lands in Google Drive, Zoom Cloud Recordings, or a shared upload folder
ThenStart a video-to-text job in ngram and post the finished transcript and timestamped clip links to the team channel
n8n
WorkflowWhenA meeting bot or webinar platform delivers a new video recording with a webhook
ThenSend the video file into ngram for transcription, captions, and the next clip or edit step
Make.com
ScenarioWhenA demo or customer-interview video is moved into the review folder in your DAM or CRM
ThenTranscribe the video in ngram and attach the timestamped transcript to the matching deal or contact record
MCP Server
AgenticWhenClaude or ChatGPT is asked to turn a video file into a transcript, clip, or captioned export
ThenCall ngram's video-to-text tool from the agent and return the transcript plus the editable video project
Chrome Extension
CaptureWhenYou spot one of your team's hosted demos, Loom walkthroughs, or webinar replays that needs a transcript
ThenSend the video source straight into ngram without downloading the file and re-uploading by hand
WhenA short clip cut from a transcribed long-form video is approved for posting
ThenPublish the clip to LinkedIn with the transcript-driven caption and hook attached
X (Twitter)
PublishWhenA quoted moment from the video transcript becomes a captioned teaser clip
ThenPost the clip to X with the exact line from the transcript as the hook text
YouTube
PublishWhenA captioned long-form cut of the transcribed video is ready for the channel
ThenUpload it to YouTube with transcript-derived chapters, title, and description filled in
For programmatic video-to-text work, the public API, webhooks, presigned uploads, and the MCP endpoint cover the same paths.
Why ngram
How ngram compares for video-to-text work.
Standalone transcription tools fit when the only deliverable is text. ngram keeps the video transcript connected to captions, clips, brand, translation, and the finished video edit.
| Compare | ngram | Rev | Descript | Sonix |
|---|---|---|---|---|
| Workflow fit | Transcribes the video with AssemblyAI, links each line to its frame timestamp, and keeps the transcript inside an editable video project. | Rev sells AI and human transcription services for video and audio with downloadable transcript and caption files. | Descript centers text-based editing for podcasts and creator video, where cutting words trims the matching video on the timeline. | Sonix focuses on transcription, subtitle export, and translation across long-form audio and video for post-production teams. |
| How ngram fits | Drives the same transcript into burned-in captions, highlight clips, translated cuts, scripts, and brand-styled exports without switching tools. | It is useful when the final deliverable is a transcript or SRT file ordered as a paid service. | It fits podcasters and creators who want the transcript itself as the primary editing surface. | It is useful when the deliverable is a transcript plus subtitle file for an external NLE like Premiere or Final Cut. |
| Best use | Fits teams that need the video transcript to power finished business video, not only a downloadable text file. | ngram fits when the video transcript should keep going into captions, clips, branded video, and channel variants in one project. | ngram fits when the video transcript should fan out into branded captions, translated cuts, voiceover, and multi-channel variants. | ngram fits when the video transcript stays inside the editor and drives captions, clips, brand styling, and the export in one place. |
FAQ
Common questions about video to text
Still curious?
Turn the recording into transcript and video
Transcribe the video with timestamps, polish the words against the playhead, and keep the same project ready for captions, highlight clips, translated cuts, and a finished video export.
Use the focused video-to-text tool now, then finish the full video edit inside ngram.
Transcript, captions, clips, export