Animated Captions
Captions that keep viewers watching — generated from the transcript automatically
AutoClip generates accurate captions from the video transcript and renders them with animated styles built for TikTok, Reels, and Shorts engagement.
Start clipping freeHow it works
Transcript captured during processing
AutoClip transcribes the full video using Deepgram's production-grade speech-to-text, producing word-level timestamps that power accurate caption alignment.
Captions are sentence-boundary aligned
Instead of cutting captions at arbitrary time intervals, AutoClip aligns them to natural sentence boundaries for captions that feel natural and are easy to read.
Choose your caption style
Select from multiple animated caption styles — pop, bounce, highlight, and more — each designed to match the aesthetic of high-performing short-form content.
Captions are burned into the clip
The selected caption style is rendered directly into the video file, so your clip is ready to post without any additional editing tools.
About Animated Captions
Captions are not optional for short-form video success. Studies consistently show that 85% of social media video is watched with sound off, and TikTok's own data confirms that captioned videos see significantly higher completion rates. AutoClip treats captions as a core feature, not an add-on — every clip has captions generated and applied automatically as part of the processing pipeline.
Caption accuracy starts with transcription quality. AutoClip uses Deepgram's production-grade speech-to-text model, which delivers industry-leading accuracy across accents, speaking speeds, and audio qualities. Accurate transcription means accurate captions — no embarrassing errors that undermine your clip's credibility or trigger viewers to stop watching.
The caption style library is designed around what actually performs on short-form platforms. The pop style mimics the large, bold, high-contrast captions seen on the most-shared TikTok content. The bounce style adds kinetic energy that matches fast-paced or energetic delivery. Each word animates in sync with speech timing, giving captions a native TikTok feel rather than the static subtitle look of traditional video editors.
Key benefits
Accurate captions from day one
Deepgram's production-grade STT produces word-accurate captions with natural sentence timing. No manual caption correction required for the vast majority of clips.
Animated styles built for short-form
Pop, bounce, and highlight styles are modeled on the caption aesthetics of high-performing TikTok and Reels content — not generic subtitle styles from desktop editors.
Sentence-boundary alignment
Captions break at natural sentence boundaries, not arbitrary time intervals, making them easier to read and giving clips a professional broadcast quality.
Burned in and ready to post
Captions are rendered into the video file during processing. No additional tools, no post-production steps — the clip comes out of AutoClip ready to publish.
Frequently asked questions
Are captions automatically added to every clip?
Yes. AutoClip generates and applies captions to every clip as part of the standard processing pipeline. You can select your preferred caption style before or after processing.
How accurate are AutoClip's auto-captions?
AutoClip uses Deepgram's production-grade speech-to-text model, which delivers high accuracy across accents, speaking speeds, and background noise levels. Caption accuracy is notably higher than tools that use basic transcription services.
What caption styles are available?
AutoClip offers multiple animated caption styles including pop (large, bold, high-contrast), bounce (kinetic word-by-word animation), and highlight (karaoke-style word highlighting). Styles are designed to match the aesthetic of high-performing short-form content.
Can I edit the captions before posting?
Yes. You can edit caption text in the clip editor before applying the style and rendering the final clip. This lets you correct any transcription errors or rewrite awkward phrasing.
Are captions hardcoded into the video or separate?
Captions are burned into the video file (hardsubbed) during processing, which is the standard for short-form video posting. This ensures captions appear correctly on all platforms and in all viewing contexts, including feed autoplay with sound off.
Do captions work for non-English content?
Deepgram's transcription supports multiple languages. Caption styling works for any language with Latin script. Non-Latin scripts may have limited style support depending on font availability.
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