Start with the transcript where the useful ideas and customer language already live. Select the story, restore the right context, and build a branded video with follow-up cuts from the same source.
Video generation uses credits. Review your estimate in ngram. MP4 downloads require Basic or higher.
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How it works
No re-recording the conversation, no scrubbing a two-hour timeline for the good 90 seconds. The words people actually said become the script, and the script becomes a storyboard you can argue with before anything renders.
A meeting recap, interview transcript, webinar log, sales-call summary, or panel record. Speaker labels and timestamps parse cleanly. If the transcript lives on a URL, paste the link and ngram fetches the text with Firecrawl.
ngram reads across speakers, drops filler and tangents, and rewrites the spoken record into a hook-body-CTA video script. The decision, the customer quote, the one stat that matters: those survive; the cross-talk does not.
Every scene shows the line lifted from the transcript, the visual direction, and the duration. Pull a tangent, keep a verbatim quote, swap a visual, or ask for a 60-second cut in plain language, and the script re-flows.
Review the transcript video for its intended channel, including the crop and caption placement, then export one MP4 from Studio. Prepare and review another aspect ratio as a separate edit.
Output controls
Transcripts are messy: ums, restarts, two people talking over each other, a five-minute tangent about lunch. ngram cuts that on the first pass so the script carries the substance, not the stenography.
Read the full script before any visual is generated. Keep a verbatim customer quote, cut a side conversation, or rewrite the CTA in plain English. Every edit re-flows the scene plan downstream.
Sarah:, Interviewer:, [00:14:32] Speaker 2 all parse. ngram tracks who said what so a two-person interview can keep the back-and-forth, or collapse into a single clean narration when that reads better.
Each scene gets a brand-matched image or short generative clip tied to what that part of the conversation was about. No keyword-matched stock footage dragging a serious recap into generic territory.
Logo, fonts, colors and motion style pulled from your saved Brand Kit. Choose saved intro or outro slides for each video that needs them. The recap of this week's call looks as on-brand as last quarter's town hall.
Narrate the rewritten script in a default ngram voice, your cloned founder voice, or a multilingual ElevenLabs voice. You are not stuck with the muffled room audio the transcript came from.
Turn captions on before export, with styling from the Brand Kit's caption preset. Edit a line in the script and that scene re-renders with the matching caption. Captions start off; select your Brand Kit during creation to use its styling.
Your pasted transcripts, fetched URLs, and renders live in your workspace, and you can delete your account and trigger a full data purge from Settings. Talk to sales about security, access controls, and data handling for your team.
The rest of ngram
Reads the whole transcript across speakers and rewrites it as a tight hook-body-CTA video script. Not a word-for-word echo of the meeting, but the argument people made, paced for video.
Learn moreEach scene of the transcript-to-video gets a brand-matched image or short clip tied to what was being discussed. The visuals follow the conversation, not a keyword-to-stock-clip table.
Learn moreRe-narrate the rewritten script in an ElevenLabs voice, your cloned voice, or another language. The room audio behind the transcript stays buried; the video gets a clean read of the lines you approved.
Learn moreBurned-in captions styled to your Brand Kit, generated from the rewritten script. Viewers on mute still read the decision or the quote the transcript captured.
Learn moreLogo, fonts, colors and motion style applied to every scene built from the transcript. The same kit drives every future transcript-to-video, so internal recaps and customer clips match.
Learn moreStudio exports the finished transcript video as one MP4. If the destination calls for MOV, WebM, or MKV, run that MP4 through Video Converter as a separate one-file, one-output conversion.
Learn moreUse cases
Paste the transcript, let ngram drop the small talk and call out the decisions, and send a captioned recap to the people who missed the call instead of a 50-minute recording nobody opens.
See use caseAn hour of webinar transcript becomes a handful of branded clips, each built around one strong moment. Post them across the channels you ship in without re-cutting the recording by hand.
See use caseThe session transcript carries the best lines; ngram lifts them into a fast branded recap with B-roll and captions, ready before the event hashtag goes quiet.
See use casePaste the customer-interview transcript, keep the verbatim quotes that sell, and ship a branded testimonial video. No second shoot, no asking the customer to re-record on camera.
See use caseThe talk transcript becomes a tutorial cut, a LinkedIn clip, and a dev-hub embed, each rewritten for its surface from the same source words, same week the talk happened.
See use caseInterview a subject-matter expert once, paste the transcript, and ngram turns the answers into a captioned training module with step labels, so the knowledge outlives the call.
See use casePaste the town-hall or all-hands transcript and get a tight captioned update employees actually finish, instead of a long recording buried in a shared drive.
See use casePaste the call transcript, pull the prospect's own priorities back to them, and send a short branded recap that lands better than a wall-of-bullets email after the meeting.
See use caseOther converters
Transcript to video rides ngram's script and storyboard pipeline. Every spoken-word and text-source converter on this list shares the same scene planner, Brand Kit, and review step. Prepare each channel version as a separate edit.
When the transcript is already a timed .srt caption file. ngram reads each cue in order and plans a scene per line, instead of treating the file as a loose block of text.
Open converterWhen your source is written copy rather than a spoken-word record, a script, a draft, or any chunk of writing. Same scene planner, tuned for prose instead of a back-and-forth transcript.
Open converterTools that pair with this converter
Polishing the source first
Get a clean transcript before you convert it
No transcript yet, just the recording? Transcribe the meeting or interview to timestamped text first, clean it up, then paste the result into transcript-to-video.
Open toolTurn a recorded call or podcast into a transcript with AssemblyAI, edit the wording, and feed the cleaned text into the same scene planner used here.
Open toolIf the transcript is long and rambling, generate a tighter video script from it first, then convert that for shorter, punchier output.
Open toolAlready have the source recording on a timeline? Trim by transcript line to the section worth keeping before you convert that span to a video.
Open toolEditing the video further
Take the transcript-to-video output past the first cut
Re-cut the rendered transcript-to-video, drop a scene, or swap a visual. The converted output opens directly in the timeline editor with the script attached.
Open toolTurn on captions when you want them in the video; this tool exports an external .srt of the rewritten script for embeds that want a switchable caption track.
Open toolTranslate the rendered transcript-to-video into another language, with lip sync optional, so a single recorded interview reaches a multilingual audience.
Open toolChoose a licensed track for the transcript video, set it under the narration, and adjust the music level before publishing.
Open toolGenerating from scratch
If there's no recording to transcribe
No conversation recorded yet? Brief the agent in a prompt and skip the transcript step. The script is generated on the way to the same storyboard reviewer.
Open toolStraight read-through of cleaned transcript text over brand visuals, with no script rewrite, when you want the words kept close to what was said.
Open toolHave an on-brand avatar present the interview takeaways on camera instead of voiceover-over-visuals. Same source transcript, a talking-head presentation.
Open toolPre-generate the hero thumbnail for the transcript-to-video on the same Brand Kit so the social card and the video first frame match.
Open toolBuilt for teams
Analyst-call transcripts, customer-interview recordings, and launch-debrief notes become branded videos the same week, instead of quotes that die in a research doc.
See workflowsQBR and onboarding-call transcripts turn into short recaps customers actually reopen, with the decisions and next steps called out on screen.
See workflowsDiscovery-call transcripts become persona-tuned follow-up clips reps drop into outbound, reflecting the prospect's own words back to them.
See workflowsRecorded support-call transcripts and troubleshooting walkthroughs convert into short how-to videos that resolve the next ticket before it's filed.
See workflowsConference-talk and office-hours transcripts become tutorial cuts, dev-hub embeds, and social clips, all rewritten from the same recorded session.
See workflowsAll-hands and town-hall transcripts become tight captioned updates employees finish, instead of hour-long recordings buried in a drive folder.
See workflowsUse podcast and webinar transcripts as source material for paid and organic social clips. Prepare and review each 9:16 or 1:1 edit separately.
See workflowsAn investor-update call or recorded fireside transcript turns into a 90-second branded video for the team channel and LinkedIn. No video team needed.
See workflowsIntegrations
Wire the converter into the meeting, transcription, and publishing tools your team runs. Every integration ships with a working transcript-to-video recipe you can fork.
whenAn approved transcript is ready for a Studio upload
thenUpload the file in Studio; use Zapier's documented Create Video or Get Status action for this Transcript to Video job, then pass the result to the next step.
whenClaude or ChatGPT is handed a call transcript and asked for a recap video
thenUse MCP's documented create and status tools for this Transcript to Video job with its supported input, then return the status or result to the agent.
whenA self-hosted pipeline writes a finished transcript to your own store
thenUse n8n's documented Create From Text, Create From URL, or Get Status node for this Transcript to Video job, then pass the status or result onward.
whenYou highlight a transcript in your meeting-notes app and hit 'Convert to video'
thenGet a storyboard back in a new tab, filler already trimmed, ready to review and render
whenThe video from your transcript is ready for LinkedIn Social Publishing Beta
thenCompose the LinkedIn post for the approved transcript video, then publish it now.
whenThe video from your transcript is ready for YouTube Social Publishing Beta
thenVerify the YouTube destination for the approved transcript video, then publish it now.
How it compares
Synthesia points a transcript at an avatar and reads it line by line; the brand controls are template-level. Pictory and Lumen5 match each sentence to a stock-clip library. ngram reads across speakers, cuts the filler, plans a storyboard you can argue with before render, and applies the Brand Kit per scene, so the output reads like the conversation, not like a template.
| Feature | ngram | Synthesia | Pictory | Lumen5 |
|---|---|---|---|---|
| How the transcript is read | Across speakers; filler dropped, rewritten into a hook-body-CTA script | Read line-by-line as avatar speech | Sentence-by-sentence over stock clips | Sentence-by-sentence over stock clips |
| Speaker labels and timestamps | Parsed and understood; back-and-forth kept or collapsed | Treated as plain text | Treated as plain text | Treated as plain text |
| Storyboard review before render | Full scene-by-scene plan, editable in plain language | Scene list, limited script editing | Scene cards, limited script edits | Inline timeline, no script-level review |
| Visual generation | AI Visuals matched to what was discussed, per Brand Kit style | Avatar over template backgrounds | Stock-library matching | Stock-library matching |
| Brand application | Brand Kit for logo, fonts, colors and motion. Choose a compatible outro separately. | Template-based, limited per-scene control | Brand presets, limited per-scene control | Template-based, limited per-scene control |
| Channel-specific editing workflow | One reviewed MP4 per channel-specific edit | One ratio per render | One ratio per render | One ratio per render |
| Voiceover | ElevenLabs voices + cloned voice, any supported language | Avatar voice library | Limited TTS voices | Limited TTS voices |
| Source content control | Transcript stays in your workspace, with account-level data purge from Settings | Indefinite retention | Indefinite retention | Indefinite retention |
| API + agentic access | REST API with self-service API keys; MCP, Zapier, and n8n for documented workflows | API available | Limited API | API available |
Transcript → Video
Paste the conversation and cut the filler in review. Roughly five minutes from transcript to publish. Prepare and review each channel edit separately before exporting one MP4.
Follow a workflow from source material to a video you can review, share and make again.
After each session
Help attendees revisit a session and give others a reason to watch the recording. Build a short recap from the actual transcript, with the speaker’s examples and a clear next step.
Webinar recording or transcriptWebinar recap video
Ways to run: In ngram
