Subtitle & Caption Generation
We tested and ranked 46 Subtitle & Caption Generation apps for Mac — updated August 2026.
Every app here was run on our own Apple-silicon Macs and scored on the published rubric — capability, craft, privacy, value. We watch the network while we test. How we rank →
You have a finished video — a tutorial, a podcast recording, a short for social — and you need accurate, timed subtitles without uploading the footage to a cloud service. These Mac apps generate SRT, VTT, and burned-in captions using speech models that run entirely on your hardware, so the raw media stays on your machine.
We evaluated 46 subtitle and caption generation apps in the Mac App Store that perform at least some transcription or OCR locally. The field ranges from full subtitle studios with timeline editors and multi-language translation to focused tools that recover burned-in text via on-device OCR. Most run Whisper or WhisperKit on Apple Silicon; others use Apple's Speech framework, NVIDIA Parakeet, or custom inference engines. Below are the highest-scoring apps across capability, craft, privacy, and value.
The ranking — all 46
AutoSub - Video Translator
Basel BaragabahThe deepest subtitle toolkit here: six local transcription modes spanning 50 languages, offline Apple and Google translation, video OCR for hardcoded text, and burned-in export up to 4K. Cloud-based Gemini/GPT translation is available but clearly separated from the on-device pipeline.
” 6 transcription modes, all processed on-device... Apple Translate: fully offline... Google Translate: fully offline... All transcription and offline translation run entirely on-device — test note
Quick Subtitles
Matt BirchlerA clean indie tool from Matt Birchler that turns any audio or video into editable text or SRT using Apple Speech Analyzer or NVIDIA Parakeet V3 on Apple Silicon. Bring-your-own-key AI cleanup keeps the cloud entirely optional.
” 100% on your own device; Apple Speech Analyzer built right into your device; NVIDIA Parakeet V3; All transcription happens on your device. Your audio never leaves your iPhone or iPad. — test note
SubOut - Subtitle Extractor
Basel BaragabahA focused tool that does one thing most apps cannot: recover hardcoded, burned-in subtitles from video into an editable .srt file using on-device detection and multi-language OCR. No subscriptions — a single $19.99 unlock covers iPhone, iPad, and Mac.
” uses on-device AI to detect burned-in subtitles and OCR to extract the text; entirely on your device. No cloud — test note
Compress-san
Cameron BangaPrimarily a video compressor, but it doubles as an SRT generator: local on-device transcription creates subtitle files, and offline translation covers 23 languages. Subtitling is a secondary feature, so the editing tools are basic compared to dedicated apps.
” use local on-device transcription models to create caption SRT files; no audio or video leaving your device; translate it into 23 different languages using local translation services — test note
Subtitle Extractor
Muruganandh RamadassA mature Mac utility (v7.0+) that handles every subtitle type: text-based tracks, image-based PGS/VobSub via OCR, and burned-in captions read frame by frame. On-device Apple Vision and Tesseract power OCR across 40+ languages with no server or account required.
” Everything runs on your Mac. No uploads, no servers; On-device OCR in 40+ languages with Apple Vision and Tesseract — test note
SubEasy
志亮 黎An all-in-one subtitle generator, editor, and merger built on on-device Whisper with unlimited free transcription in 100+ languages. The waveform timeline editor, search-and-replace, and burn-in export give it a pro-grade editing layer that most free tools skip.
” Ultra-Fast offline transcription, your data won't leave your device; On-Device Whisper; SubEasy runs offline using local AI models — test note
Cliptate
奇 李A creator-focused toolkit bundling local speech-to-text for subtitles with silence trimming, voice cloning, and FCPXML/SRT exports. Zero cloud uploads keep raw footage private, though the breadth of features may come at the cost of depth in any single area.
” on-device AI assistant; On-Device Speech Recognition... Your audio never leaves your device; Voice Cloning... Utilize local models; Completely Local: Zero cloud uploads — test note
巴别播客
美 杨A podcast companion that generates full-episode subtitles on-device with an embedded inference model, then layers on sentence-level follow-along highlighting and vocabulary study notes. Designed for listeners and language learners, not video editors, but the SRT/VTT/JSON/Markdown exports make the transcripts broadly useful.
Syncscribe: Video Subtitles
SiRu LiGenerates timestamped subtitles via WhisperKit locally across 99+ languages, with bilingual translation, burned-in rendering, and a lyric-MV export mode that turns songs into captioned videos. Media files stay on your Mac throughout the workflow.
” Powered by WhisperKit and Whisper-series models, running locally; Transcription runs on your Mac - no upload — test note
SubShift
Gijs RaggersA straightforward Mac subtitle maker: WhisperKit transcribes the video on-device, Apple Translation handles the language conversion at three quality tiers, and your footage never leaves the machine. Simple, free, and private.
” "WhisperKit for on-device speech recognition"; "All processing happens on your Mac — your videos never leave your device" — test note
How to choose Subtitle & Caption Generation for Mac
Pin down what you actually need the app to do. If you are generating subtitles from scratch — speech to timed text — look for apps running Whisper or WhisperKit, and pay attention to model-size options: a larger Whisper model handles accents and background noise better, while a smaller one transcribes faster with less memory. Apps like SubEasy and SRTWhisper offer multiple sizes so you can trade off speed and accuracy per project.
If your footage already has burned-in captions you need to extract, you want OCR-based tools like SubOut or Subtitle Extractor — they read hardcoded text frame by frame, a task transcription-only apps cannot perform.
Translation matters if your audience is multilingual. Some apps translate offline using Apple Translation or local LLMs (Qwen, Gemma, Phi); others route translation through cloud APIs. Check whether the translation step stays on-device or requires a network call — the distinction is not always obvious in marketing copy.
Finally, consider your export target. Creators working in Final Cut Pro need FCPXML; YouTube uploaders need clean SRT; social-video editors may want animated burn-in styles. Most top-ranked apps cover SRT and VTT, but timeline-integration and styling vary widely.
Questions people ask
Can I generate subtitles on a Mac without uploading my video?
Yes. The majority of apps on this list transcribe speech using models that run on your Mac's CPU or Neural Engine — Whisper, WhisperKit, and Apple's Speech framework all process audio locally after an initial model download. A few apps optionally connect to cloud APIs for translation or enhanced accuracy, but the core transcription step runs on-device. AutoSub, for example, offers six transcription modes that all process on-device, with cloud AI translation clearly labeled as optional.
Which subtitle format should I export — SRT, VTT, or burned-in?
SRT is the safest default: nearly every video player and platform accepts it, and the file is plain text you can hand-edit. VTT adds styling options and is the standard for web video. Burned-in captions bake the text into the video pixels — useful for social clips where viewers may not enable subtitles — but you lose the ability to edit or translate later. Most apps here export SRT and VTT; several also offer direct burn-in rendering up to 4K.
How accurate is on-device subtitle generation compared to cloud services?
Accuracy depends on the model and audio quality more than where it runs. On-device Whisper large models match cloud transcription quality for clear speech in supported languages. Noise, heavy accents, or domain-specific terminology may lower accuracy regardless of engine. Apps that offer multiple model sizes let you test a larger model when the default falls short — the processing stays local either way.