How does plain text become WebVTT cues?
You choose whether lines, sentences, or paragraphs become WebVTT cues. Long text is split by the max character setting, and timing is generated from duration, start offset, and gap settings.
TXT to VTT converter
Turn plain text into a WebVTT subtitle file for web video. Paste a script, transcript, or caption draft, choose how text is split, tune timing controls, and export a clean .vtt file.
Paste plain text
Conversion settings
Files are processed locally in your browser.
Generated WebVTT
How to use this subtitle tool
- 1Paste plain text, a script, a transcript, or upload a .txt file.
- 2Choose lines, sentences, or paragraphs, then set duration, start offset, gap, and max characters.
- 3Run the tool, review the generated WebVTT timing, then copy or download the .vtt file.
Tool FAQ
Can I fine-tune the VTT timing after generating the file?
Yes. Download the generated VTT file, open it in the main editor, load the matching media, and adjust cue timing on the waveform timeline.
Why use a TXT to VTT converter?
A TXT to VTT converter helps when you have caption text but need a WebVTT file for HTML5 video, custom web players, documentation sites, course pages, or embedded product demos. The tool turns plain scripts and transcripts into a browser-friendly .vtt subtitle file with generated cue timing.
Create WebVTT captions from plain text
WebVTT is the web-native subtitle format used by the HTML video track element and many browser-based media workflows. A plain TXT document can hold the words, but it cannot be loaded as a caption track because it lacks the WEBVTT header, cue timing, and timestamp syntax expected by web players. This converter creates that structure automatically. It splits your text into cue blocks, assigns sequential timing, writes WebVTT timestamps with dot milliseconds, and produces a .vtt file that can be tested in a web video workflow.
Split mode, max characters, and timing controls
The converter can split plain text by lines, sentences, or paragraphs, which makes it useful for scripts, transcripts, documentation narration, and lesson text prepared in different ways. The max character setting helps keep web captions readable by breaking oversized text into smaller cue blocks. Duration controls the display time for each cue, start offset lets captions begin after an intro or silence, and gap can add optional space between cues. The goal is a structured WebVTT draft that is easier to review against real media.
When TXT to VTT is the right format choice
Choose VTT when the final destination is a website or web-based player. WebVTT is commonly used for HTML5 video captions, product documentation videos, course players, product help centers, internal knowledge bases, and embedded tutorials. Generating VTT directly avoids an extra conversion step from SRT and gives developers or content teams a file that matches browser expectations. The output includes a WEBVTT header and timestamp formatting suitable for web caption tracks.
Generated timing should be reviewed with media
Because TXT does not contain real speech timing, generated VTT cues should be reviewed before publishing. After downloading the .vtt file, open it in the main subtitle editor with the matching video or audio. Use video preview and the waveform timeline to move cues, adjust starts and ends, split long captions, merge short ones, and check readability on different screen sizes. This gives you the speed of text-based generation while keeping the precision needed for accessible, useful web captions.
Useful for web, course, and documentation teams
TXT to VTT is especially useful when a team writes caption text before final timing exists. A documentation team can turn product demo narration into WebVTT for an embedded video. A course team can convert lesson text into browser-readable captions. A developer can prepare a caption track for an HTML video element without manually writing WebVTT syntax. A creator can generate a caption draft and refine it later. The workflow stays simple: paste text, set cue duration, generate VTT, test it with media, and refine the timing if needed.