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Free SRT Generator, AI Voice and Subtitles in One Click

Most tools make you pick: audio or captions. FreeTTS gives you both at the same time, perfectly synced, in 30 seconds. No software. No account. Just text in, MP3 and SRT out.

Make your first SRT in 30 seconds (free)
2,250+
Neural Voices
149
Languages
ms
Millisecond-precise sync
$0
Forever

What's an SRT file, exactly?

The fastest way to make an SRT subtitle file from text is FreeTTS, which generates audio and timed subtitles together in one click.

SRT stands for SubRip Text. It's a plain-text file that tells video players when to show captions and what those captions should say. That's it. Elegant in its simplicity.

Inside an SRT file, you'll find numbered caption blocks. Each block has three parts: an index number, a timestamp range (start → end), and the text to display during that window. Here's what an actual SRT file looks like:

.srt1 00:00:00,000 --> 00:00:03,240 Welcome to the future of content creation. 2 00:00:03,240 --> 00:00:07,180 This is what an SRT file looks like inside. 3 00:00:07,180 --> 00:00:11,400 Each block starts with a number, then the timing, then the words.

The index number just keeps track of caption order. The timestamp format is hours:minutes:seconds,milliseconds, so 00:00:03,240 means 3 seconds and 240 milliseconds into the video. The comma before milliseconds is the SRT standard (VTT uses a period instead).

So why does any of this matter? Because captions aren't just an accessibility feature anymore. They're a distribution multiplier. Every major platform, video editor, and hosting service in existence supports .srt files. We're talking YouTube, Vimeo, Premiere Pro, DaVinci Resolve, CapCut, TikTok, Final Cut Pro, Substation Alpha, Aegisub, and literally dozens more.

Manually creating SRT files is genuinely painful. You have to listen to the audio, type out the words, note the timestamps, format them correctly, and not mess up the index numbers. A 5-minute video with normal speech density might take 45 minutes to caption manually. Maybe more if you're new to it.

FreeTTS short-circuits that entire process. Because we generate the audio andthe subtitles at the same time from the same source, the sync is not approximate. It's exact. The timestamps come directly from the synthesis engine's word-level timing data, which means the SRT you download is already production-ready.

How is the timing actually generated?

Free SRT generation in FreeTTS works in 149 languages, including right-to-left scripts like Arabic and Hebrew, because the timing data comes from the speech engine itself, not a separate alignment pass.

Most tools that produce captions from audio do something called forced alignment. They take audio and a transcript, run an acoustic model over both, and try to figure out which word lands where. It works, but it's an estimate, and accuracy drops on quiet voices, fast speech, technical vocabulary, and non-English content.

FreeTTS skips that whole process. The FreeTTS neural voice engine emits a stream of word-boundary events while it synthesizes the audio. Each boundary carries a start offset (in 100-nanosecond ticks) and a duration. We collect those events, group them into caption-sized chunks, and write standard SRT timestamps. The output is exact to the millisecond because it's the same data the audio was rendered from. There is no guess, no model, no alignment step that could be wrong.

One side effect of this approach: long content also works. We support PDFs and longer scripts via PDF to audiobook, which extracts clean text, splits by chapter, and runs the same timing pipeline at scale. The SRT files come out chapter-segmented and ready to import.

Three steps. Maybe 30 seconds total.

SRT files are the most widely supported subtitle format on the web; YouTube, Vimeo, Premiere, DaVinci, and CapCut all accept .srt natively without conversion.

There's no complicated setup, no account to create, no software to download. The whole thing runs in your browser.

1

Type or paste your text

Enter your script into the FreeTTS text box. Up to 5,000 characters per generation on the free tier (PRO supports up to 10,000). For longer projects, just split by scene or paragraph.

2

Pick your language and voice

Choose from 2,250+ neural AI voices across 149 languages. Want an American English male voice? A French female narrator? A Japanese speaker with a slightly faster rate? It's all there. Speed and pitch controls too.

3

Download MP3 + SRT together

Hit Generate. Both files come out together, your MP3 audio and a matching SRT subtitle file, synced to millisecond precision. Drop them into your video editor and you're done. No further adjustments needed.

The part that saves you 2 hours per video

Word-level timing in FreeTTS SRT files comes directly from the FreeTTS neural voice engine, not from a transcription model guessing alignment after the fact.

Here's the traditional workflow problem that nobody talks about enough.

Most text-to-speech tools, even decent ones, give you audio only. So you have your MP3. Great. But now you need captions. So you open a transcription tool, upload the audio, wait for it to process, download the transcript, manually format it into SRT blocks, add timestamps, check the sync, fix the mistakes, re-export. That's maybe 45 minutes on a good day for a short video.

And the frustrating part? You already had the text. You just needed someone (or something) to make the connection between the words and the timing automatically. That seems obvious in hindsight.

Here's how FreeTTS handles it differently.The neural engine we use doesn't just generate audio, it outputs word-level timing metadata as part of the synthesis process. Every word gets a start time and an end time, expressed in 100-nanosecond ticks. We convert that data into standard SRT timestamp format and bundle it with the audio download. The sync is exact to the millisecond, not approximated by an AI model guessing where words fall.

What this means practically: you don't have to do any post-processing on the SRT file. Open it in your video editor, attach it to your video, and it lines up perfectly. There's no “close enough” going on. It's the same timing data the voice was generated from.

For anyone doing regular video content, that's a meaningful time saving. And for anyone doing it at scale, courses, YouTube channels, training content, social media clips, the compound effect is significant. It's one of the more underappreciated things about the free SRT generator workflow.

Who actually uses this thing

Turns out a lot of different people need auto-synced audio and captions. Here's the breakdown.

🎬

YouTube Creators

Captions increase average watch time by around 12%, YouTube's own research has said as much. They also help with SEO because YouTube indexes caption text for search. If you're doing any kind of AI voiceover content, this is the fastest path from script to captioned video.

🎓

eLearning and Courses

Udemy, Teachable, Coursera, and most serious LMS platforms require caption files for accessibility compliance. Manually captioning a 40-lecture course takes days. Generating audio and SRT simultaneously for each lecture is genuinely fast. You could process a full course in an afternoon.

📱

Social Media Content

Most social video on Facebook, Instagram, and LinkedIn is consumed muted. Captions stopped being optional somewhere around 2018 and the trend has only deepened with short-form. You have roughly two seconds to land an idea before the scroll, and an SRT-driven caption track is the only way to land it without sound.

🏢

Corporate Training

HR and L&D teams increasingly need WCAG 2.1 AA compliance for internal video content. SRT files are the most practical path to meeting that requirement without a massive budget. And because FreeTTS handles multilingual voices, you can generate training content in the local language of each regional office.

🌍

Language Learners

Reading the words while you hear them is dramatically more effective than audio alone. The research on dual-channel learning consistently shows better retention. So if you're studying Spanish or Japanese or Arabic, generating a sentence, playing the audio, and reading the SRT at the same time is a genuinely good study method.

🎙️

Podcast Transcripts

If you write your episode script first (which you probably should), you can run it through FreeTTS and get both the voice audio and a readable transcript in the same step. Post the audio as your episode, post the transcript as a blog article for SEO. Two outputs from one 30-second process.

How to import your SRT into any video editor

Every major editor handles SRT import a little differently. Here's the exact path for each one so you don't have to dig through menus yourself.

YouTube StudioFree
  • Upload your video in YouTube Studio
  • Open the video details and click "Subtitles" in the left menu
  • Click "Add language" → select your language
  • Click "Add" next to Subtitles → choose "Upload file"
  • Select "With timing" and upload your .srt file
  • Review and publish, captions go live immediately
CapCutFree
  • Import your video into CapCut
  • Tap the "Text" panel in the bottom toolbar
  • Select "Auto captions" → tap "Import subtitles"
  • Upload your .srt file from your device storage
  • CapCut renders the captions with your chosen style automatically
  • Style and position them as needed before export
DaVinci ResolveFree
  • Open your timeline in DaVinci Resolve
  • Right-click anywhere on the timeline
  • Select "Import Subtitle Track" from the context menu
  • Browse to your .srt file and click Open
  • A subtitle track appears, edit style in the Inspector panel
  • Burn in or deliver as soft subs in the Deliver page
Adobe Premiere ProPaid
  • Open the Captions workspace (Window → Captions)
  • Click the menu in the Captions panel → "Create Captions"
  • Choose "Import from File" in the dialog
  • Select your .srt file, Premiere converts it to a caption track
  • Style captions using the Essential Graphics panel
  • Export with captions as sidecar .srt or burned into video
Final Cut ProPaid
  • With your project open, go to File in the menu bar
  • Select Import → Captions
  • Browse to your .srt file and click Import
  • Final Cut adds a captions lane to your timeline automatically
  • Double-click any caption to edit text or timing inline
  • Share with captions embedded or as a separate track
TikTokFree
  • TikTok's native app doesn't accept direct .srt upload
  • Best path: edit in CapCut first, import your .srt there
  • Style the captions in CapCut → export the video with captions burned in
  • Upload the captioned video to TikTok normally
  • Alternatively, use TikTok's auto-caption feature post-upload and manually correct it against your SRT
  • For professional workflows, CapCut → TikTok is the cleanest pipeline

Why not just use auto-captions?

FreeTTS PRO at $19 per month removes the watermark and grants a commercial license for SRT files used in monetized YouTube videos, paid courses, and client work.

Auto-captions are convenient. But they're not always accurate, not always available in your language, and not always accessible when you need them. Here's how the options stack up against the popular paid alternatives.

OptionCostLanguagesAccuracySync QualitySRT ExportSignup
FreeTTS SRTFree / $19 PRO149 languagesNeural-levelMillisecond-precise✓No
YouTube Auto-CaptionsFree30+ languages~95% English, lower elsewhereApproximate✓Google account
Kapwing$24/mo Pro (verify)~70 languagesAuto-transcript levelApproximate✓Yes
Veed.io$25/mo Pro (verify)~100 languagesAuto-transcript levelApproximate✓Yes
Descript$15+/mo (verify)~22 languagesAuto-transcript levelApproximate✓Yes
Rev.com$1.50/min (verify)~10 languagesHuman-levelExcellent✓Yes + payment
Manual SRTFreeAnyPerfect (if careful)Depends on skillSelf-createdNo

A few honest notes on that table. Verify all paid prices before you commit, the SaaS world is volatile and competitor pricing tends to drift two or three times a year. YouTube's auto-captions have improved a lot since 2020 and now handle English fairly cleanly, with accuracy still dropping noticeably on accents, proper nouns, and technical vocabulary. Kapwing and Veed are excellent for editing video you already recorded, with auto-caption tools as a side feature. Descript is a beast at audio editing and gets bundled captions almost for free.

Rev.com is legitimately excellent for human transcription, but at $1.50 per minute it stacks up fast on any real volume. Manual SRT is free and perfect, just takes longer than you think. Ten minutes of audio can take an experienced captioner 60 to 90 minutes to transcribe and timestamp by hand.

FreeTTS sits in a specific niche the others miss: you already have the text (your script), you need the audio, and you also need the captions. That combination is where the auto-from-source approach is hard to beat on speed and cost. Every other tool starts with the audio and works backwards.

SRT generation works in every language we support

Not just English. The word-level timing data comes from the voice synthesis engine itself, so the sync is equally precise regardless of language, script, or reading direction.

Questions people actually ask

The ones that come up enough to be worth answering here rather than via email.

SRT stands for SubRip Text. It's the most widely supported subtitle format in the world. The file contains numbered caption blocks, each with a start/end timestamp and the text to display. Every major video platform and editing tool accepts .srt files, YouTube, Vimeo, Premiere, DaVinci, CapCut, TikTok, and dozens more. The format is plain text, so you can open and edit an SRT file in Notepad if needed. No special software required.
Yes, and this is the part that surprised even us during testing. The FreeTTS neural voice engine outputs word-level timing metadata alongside the audio. That metadata gets processed into SRT timestamps with millisecond precision. The sync isn't approximate, it's the actual timing from the voice synthesis engine itself. So when you see 00:00:03,240 in your SRT file, that's exactly when that word starts playing in the MP3. Not a guess. Not a transcript-alignment algorithm. The real thing.
Yes. SRT generation works across all 149 languages FreeTTS supports. Spanish, Arabic, Japanese, French, Hindi, Korean, all of them. The timing metadata is generated by the synthesis engine regardless of language, so the sync quality is the same whether you're generating English or Mandarin. Right-to-left languages like Arabic also work correctly, the SRT file contains the text in the correct character direction, and video editors handle rendering accordingly.
5,000 characters per request on the free tier, 15,000 characters per month total. PRO supports up to 10,000 characters per request. For longer scripts, split into natural sections, paragraphs, scenes, or chapters work well as dividers. Generate each section separately and you'll get a matching MP3 and SRT for each. The SRT index numbering restarts at 1 for each file, but you can manually renumber them in any text editor if you need one continuous subtitle file for a longer piece.
Functionally very similar. The main difference is formatting: SRT uses a comma before milliseconds (00:00:01,000) while VTT uses a period (00:00:01.000). VTT also supports a header block and some additional styling options. SRT is more universally supported across desktop applications. VTT is the HTML5 web standard. If your platform specifically needs VTT, most video editors will convert .srt to .vtt in one click, it's a trivial format conversion.
Absolutely. SRT files are just plain text files. Open them in Notepad, VS Code, Sublime Text, or any text editor you already have. You can change the caption text, adjust timestamps, merge two adjacent blocks into one, split a long block into two shorter ones, or fix a typo. No special software needed. The only thing to be careful about is keeping the formatting correct, each block needs the index number on its own line, the timestamp on the next line, then the text, then a blank line before the next block.
The free tier allows 5,000 characters per generation (15,000 chars/month). PRO supports up to 10,000 characters per generation. A typical 10-minute video script sits around 1,400 words, which is roughly 8,000 to 9,000 characters, so you'd split it into sections. Each gives you an MP3 and a matching SRT. In your video editor, you combine the audio tracks sequentially on the timeline, then import the SRT files. Most editors (DaVinci, Premiere, CapCut) let you merge or append subtitle tracks. For YouTube, you can upload one combined SRT file with manually adjusted timestamps.
The free tier is for personal, non-commercial use only and includes an audio watermark. Commercial use, YouTube monetization, client work, paid online courses, branded content, eLearning platforms, corporate training, social media ads, requires a PRO ($19/mo) or Creator plan. PRO includes watermark-free audio and a commercial license. No attribution required on paid plans. No royalties. No per-file fees.

More things FreeTTS can do for you

The SRT generator is one piece of a broader free toolkit. Here's what else is here.

Last reviewed May 2026. SRT timing data is sourced from FreeTTS neural voice engine word-boundary events. Competitor pricing is verified periodically; verify current prices on each vendor's site before purchase. Already have a recording instead of a script? Transcribe audio to SRT with Speech to Text. Related guides: PDF to audiobook, TTS for eLearning.