SRT & VTT Subtitle Export: A Transcription Workflow for Video Creators

Why Video Creators Need an AI Subtitle Workflow

Subtitles are no longer optional. On YouTube, videos with captions see up to 40% more watch time. On social platforms, most viewers watch with sound off. For podcasters repurposing episodes as video, captions turn audio-first content into something visually engaging.

But creating subtitles manually is painful. A 10-minute video can take over an hour to caption by hand — timing each line, fixing typos, formatting for the right platform. An AI-powered transcription workflow eliminates most of that labor, producing timeline-synced subtitles you can export in industry-standard formats and drop straight into your editing software.

SRT vs VTT: Which Format Do You Need?

Two formats dominate the subtitle world, and knowing when to use each saves time and avoids compatibility headaches.

• SRT (SubRip) — The universal standard. Uses timestamps in HH:MM:SS,mmm format with auto-generated sequence numbers. Supported by YouTube, Premiere Pro, DaVinci Resolve, and virtually every video player. Choose SRT when you need maximum compatibility.
• VTT (WebVTT) — The web-native format. Uses HH:MM:SS.mmm timestamps with an auto-generated WEBVTT header. Supports styling and positioning metadata. Choose VTT for HTML5 video players, web-based platforms, and when you need CSS-style caption customization.

The key structural difference: SRT uses a comma in timestamps (00:01:23,456) while VTT uses a period (00:01:23.456). SRT requires numbered sequence entries; VTT does not. In Speechy, both formats are managed through a unified SubtitleExportService, so you choose the format at export time — no need to decide upfront.

The Complete Workflow: From Recording to Subtitles

Here is a step-by-step workflow that takes you from raw footage to ready-to-use subtitles:

1. Import your video — Speechy accepts MP4, MOV, and M4V files. It extracts the audio track automatically, so you do not need to separate audio beforehand.
2. Transcribe — On-device speech recognition converts the audio to text with paragraph-level timestamps. You can watch the transcription happen in real time or process it in the background.
3. Review in Subtitle Mode — Switch to the subtitle display view to see your transcript segmented into caption-sized blocks, each synced to the timeline. Tap any segment to hear the corresponding audio — a karaoke-style playback that makes review fast.
4. Correct with AI — Use the AI correction feature to fix recognition errors, proper nouns, technical terms, and punctuation. This is especially valuable for content with jargon or multilingual speakers.
5. Export — Choose SRT or VTT and share. The file is ready to upload or import into your editor.

Using AI to Improve Subtitle Quality

Raw speech recognition output is rarely broadcast-ready. Common issues include missed punctuation, incorrect homophones, and garbled proper nouns. Speechy's AI layer addresses these problems:

• Error correction — AI reviews the full transcript context and fixes words that sound right but are spelled wrong (e.g., "their" vs "there," brand names, technical terms).
• Punctuation and formatting — Adds commas, periods, and sentence breaks where the speaker paused, producing subtitles that read naturally.
• Translation for bilingual subtitles — Use the translation feature to generate a second language version of your transcript. This gives you the raw material for bilingual subtitle tracks — a major accessibility win for international audiences.

Using Your Subtitles in Editing Software

Once exported, your subtitle files integrate directly into professional workflows:

• YouTube — Upload your SRT file in YouTube Studio under Subtitles. YouTube parses the timestamps and displays captions with frame-accurate timing. VTT files also work.
• Adobe Premiere Pro — Import SRT via File > Import, then drag it to the timeline. Premiere creates a caption track you can style and reposition. Since version 2022, Premiere handles SRT natively.
• Final Cut Pro — Use the Import Captions option to load your SRT file. Captions appear as a connected storyline element you can adjust per clip.
• DaVinci Resolve — Import SRT through the Media Pool. Resolve places subtitles on a dedicated subtitle track with full editing controls.

Podcast Creators: Subtitles as a Growth Tool

Podcasters increasingly publish video versions of episodes on YouTube and social media. Subtitles serve multiple purposes in this context:

• Audiograms and clips — Short clips with burned-in captions perform significantly better on Instagram, TikTok, and LinkedIn. Export SRT from Speechy, import into your clip editor, and you have timed captions without manual work.
• Full episode accessibility — Uploading SRT to YouTube makes your podcast searchable by Google and accessible to deaf and hard-of-hearing audiences.
• Show notes and transcripts — The same transcription that generates subtitles can be exported as plain text for blog posts and show notes, maximizing the return on a single recording.

For podcast workflows specifically, the ability to import video files (MP4/MOV) and extract the audio track means you can work from your final rendered video rather than juggling separate audio exports.

Practical Tips for Better Subtitles

1. Record clean audio — Subtitle quality starts with audio quality. Use an external microphone and minimize background noise.
2. Keep segments short — Aim for 1-2 lines per subtitle block. Speechy's paragraph-based segmentation handles this naturally.
3. Always run AI correction — A single pass catches most errors and saves significant manual editing time.
4. Preview before export — Use the timestamp-synced playback to spot-check timing and text accuracy.
5. Choose the right format for your platform — SRT for maximum compatibility, VTT for web-first distribution.