SRT to Video for turning timed words into a complete visual story

Use the timed subtitle file as the structure for the message, then build the supporting visuals, audio, and brand around it. Review every line and keep the complete video editable after import.

Input · SRT to VideoReady
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Video generation uses credits. Review your estimate in ngram. MP4 downloads require Basic or higher.

How credits work

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How it works

Four steps from a raw .srt file to a captioned video.

No subtitle-burner that just stamps text on footage you don't have, and no timeline to nudge cues by hand. The caption lines you already wrote become the script, and the script becomes a storyboard you can argue with before anything renders.

01

Paste the SRT or drop a file URL

Open the .srt in any text editor and paste the cue numbers, timestamps, and caption lines. ngram parses the SubRip structure, keeps the cue order, and reads the in/out times so pacing follows the original captions.

02

Cues become a video script

ngram groups consecutive caption lines into scenes, finds the hook and the close, and tightens the wording for spoken pacing. The phrasing from your subtitles survives where it reads well; the timestamps guide how long each scene holds.

03

Review the plan containing the script before render

Each scene shows its caption line, the visual direction, and the duration pulled from the cue timing. Merge two cues, rewrite a line, swap a visual, or ask for a shorter cut in plain language, and the changes flow back through the script.

04

Export with captions burned in

Review the captioned 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

Smart defaults from the cues. Real knobs when you need them.

Caption-line-to-scene mapping

ngram reads the numbered cues and decides where one caption line ends a scene and the next begins one. Long captions split, rapid-fire cues merge, so the storyboard reads as scenes rather than one card per subtitle.

Timing follows the timestamps

The in/out times in the .srt set a baseline duration for each scene. Keep the original pacing for a faithful cut, or ask the agent to re-pace the whole video to a target length and the cue timing rescales with it.

Script-first review

Read the full script, assembled from your caption lines, before any visual generates. Cut a section, fix a line, or rewrite the close in plain English, and every edit re-flows the scene plan downstream.

AI Visuals per caption

Each scene gets a brand-matched image or short generative clip tied to what that caption line says. No keyword-matched stock footage that ignores the words on screen.

Voiceover that reads the captions

Narrate the caption lines in a default ngram voice, your cloned voice, or a multilingual ElevenLabs voice. The voiceover and the burned-in captions stay in lockstep because they come from the same SRT text.

Caption styling from the Brand Kit

Burned-in captions inherit the Brand Kit's caption preset: font, color, weight, and position. The subtitle file gave you the words; the Brand Kit gives them a consistent on-screen look across every render.

Re-render in another language

Translate the caption lines and regenerate voiceover and on-screen text in the target language without rebuilding the storyboard. One SRT becomes a localized cut for each market you ship in.

Prepare each channel edit separately

Set the intended channel and aspect ratio for the captioned video, then review the crop, caption placement, and CTA before exporting one MP4. Prepare another channel version as a separate edit.

Use cases

Where a subtitle file already holds the whole video.

Explainer video

Turn a captioned explainer transcript into a video

The .srt from an old explainer or webinar already carries the full narration. Paste it and ngram rebuilds the explainer with fresh visuals and voiceover, no re-recording the script line by line.

See use case
Training content

Rebuild a training module from its caption track

Course captions and SOP subtitles convert straight into a branded training video with step pacing pulled from the cue timing. The words employees already read on screen become the script.

See use case
Tutorial video

Re-skin a tutorial from its subtitle file

Have the SRT but not the footage? ngram reads the tutorial captions and generates matching scenes, so the steps stay in order and the on-screen text matches what the narrator says.

See use case
Customer onboarding

Caption files become onboarding videos

Onboarding scripts saved as .srt convert into a short branded walkthrough with captions burned in. New customers see the steps spoken and written, which lifts activation in week one.

See use case
Help center

Help-article subtitles into support clips

A subtitle export from a recorded answer carries the exact wording support already approved. Paste it, get a captioned help clip that embeds inline in Zendesk or Intercom, no re-shoot.

See use case
Social distribution

Repurpose caption files into social clips

An old SRT is a ready-made script for a fresh 9:16 cut. Paste it, regenerate the visuals on-brand, and ship a captioned clip to LinkedIn and approved social channels without rewriting a word.

See use case
Lecture recap

Lecture captions into a focused recap

A 60-minute lecture's caption file holds far more than a recap needs. ngram trims the cues to the core points and rebuilds a tighter video, with captions on every scene for students who skim on mute.

See use case
Customer training

Feature-training captions into release videos

Subtitle files from a feature walkthrough convert into a captioned training clip CS can attach to every release. The narration text drives both the voiceover and the on-screen captions.

See use case

Tools that pair with this converter

Sharpen the captions before. Edit the video after.

All ngram tools

Editing the video further

Take the SRT-to-video output past the first cut

Built for teams

Teams sitting on caption files that should be videos.

All solutions

Integrations

Convert subtitle files to video where they already pile up.

Wire the converter into your storage, your CRM, your agent stack, or your publishing tools. Every integration ships with a working SRT-to-video recipe you can fork.

REST APIMCP serverWebhook subscriptionsFor API automation, send supported text or URL inputs with a self-service API key, retrieve the video job status, and subscribe to video.completed or video.failed.

How it compares

If you've been using something else for srt to video.

VEED, Kapwing, and Flixier read an .srt to burn subtitles onto footage you already have. They don't build the video. ngram treats the caption lines as the script, plans a storyboard you can edit before render, and generates the scenes and voiceover to match, so an SRT with no footage still becomes a finished video.

FeaturengramVEEDKapwingFlixier
Needs existing footageNo. Generates scenes from the caption linesYes, burns onto your videoYes, burns onto your videoYes, burns onto your video
How the SRT is usedCaption lines become a hook-body-CTA scriptOverlay text on a clipOverlay text on a clipOverlay text on a clip
Storyboard review before renderFull scene-by-scene plan, editable in plain languageCaption editor onlyCaption editor onlyCaption editor only
Visual generation per captionAI Visuals matched to each line's meaningNoneStock-library matchingNone
Voiceover from the caption textElevenLabs + cloned voice, any supported languageLimited TTSLimited TTSLimited TTS
Brand Kit on every sceneLogo, fonts, colors, motion, caption presetCaption-style presetsTemplate-basedTemplate-based
Channel-specific editing workflowOne reviewed MP4 per channel-specific editOne ratio per exportOne ratio per exportOne ratio per export
Re-render in another languageTranslate captions + voiceover, keep the storyboardManual re-subtitleManual re-subtitleManual re-subtitle
API + agentic accessREST API with self-service API keys; MCP, Zapier, and n8n for documented workflowsAPI on paid plansAPI on paid plansLimited API

Common questions about srt to video

How does ngram's srt to video conversion work?

Open your .srt file in any text editor and paste the contents. ngram parses the cue numbers, timestamps, and caption lines, groups them into scenes, and rewrites the text as a video script. You review the plan containing the script in plain language. After review, Studio exports the captioned video as one MP4. Prepare and review another channel version as a separate edit.

Do I upload the .srt file or paste its contents?

Paste the contents. Open the .srt in any text editor, copy everything, and drop it into the paste box. You can also point ngram at a hosted caption file by URL on your own storage, and it fetches the text and feeds the cues to the same scene planner.

Does srt to video burn subtitles onto an existing clip, or build a new video?

It builds a new video. Subtitle burners like VEED and Kapwing stamp your .srt onto footage you already have. ngram treats the caption lines as the script and generates matching scenes and voiceover, so a subtitle file with no footage still becomes a finished captioned video. If you do have a clip and only want captions on it, use the Add Subtitles to Video tool instead.

Does the original caption timing carry over?

Yes. The in/out times in each SRT cue set a baseline duration for the matching scene, so pacing tracks the original captions. You can keep that timing for a faithful cut, or ask the agent to re-pace the whole video to a target length and the cue timing rescales with it.

What happens to long caption lines or rapid-fire cues?

ngram reads the cue structure rather than rendering one card per subtitle. Long captions split across scenes where it reads better, and rapid consecutive cues merge into a single scene, so the storyboard flows like a video instead of a subtitle stream.

Can I render the SRT in another language?

Yes. ngram translates the caption lines and regenerates voiceover, on-screen text, and burned-in captions in the target language without rebuilding the storyboard. One subtitle file becomes a localized cut for each market you ship in.

What aspect ratios and file formats can I export?

Studio exports the reviewed captioned video as one MP4. Set the aspect ratio for that edit, then check its crop and caption placement before export. Prepare and review a separate edit for another channel. If a destination requires MOV, WebM, or MKV, use Video Converter as a separate one-file, one-output step; use Video to GIF for a GIF. Output is 720p on Basic, 1080p on Premium, and 4K on Ultimate. Share a public watch link on Free.

What happens to my subtitle file after conversion?

Your pasted SRT text and fetched caption files live in your workspace, and you can delete your account and trigger a full data purge from Settings at any time. Talk to sales about security, access controls, and data handling for your team.

Can I integrate srt to video into our existing tooling?

Yes. Zapier and n8n can trigger a documented text or URL action when approved caption content is ready. There's an MCP server for documented agentic tools and a REST API with a self-service API key; public webhook subscriptions emit video.completed or video.failed. Pricing is credit-based: The base rate for premium AI video generation is 10 credits per second; a cheaper model costs 3 credits per second from your plan allowance. API-key video creation requires Basic or higher and credits.

How is ngram different from other srt to video tools?

Most srt to video tools overlay your captions on a clip you supply. ngram plans first: it turns the caption lines into a script, shows a storyboard you approve in plain language, then generates the scenes and voiceover and applies your Brand Kit to every frame. The 50th video from a subtitle file looks as on-brand as the first.

SRT → Video

Ready to turn a subtitle file into a captioned video?

Paste the .srt file. Review the plan containing the script, then generate your video. Prepare and review each channel edit separately before exporting one MP4.