If you've tried Happy Scribe for non-English transcription, you already know the pitch: 120+ languages, decent accuracy, a usable web editor. You're probably looking around because the per-hour bill stacks up faster than expected, the editor feels cramped on long files, or one specific language (yours) gets handled better elsewhere. Those are the three reasons people actually switch.
Five tools below all transcribe non-English audio competently. They're not the same — one is built for developers, one for journalists, one for content teams, one for everyone, and one (ours) is a per-minute pay-as-you-go service with no subscription. Pick by use case, not feature count.
Why people leave Happy Scribe
Three patterns show up repeatedly:
- Subscription math. Happy Scribe works if you transcribe steadily. If you have a busy month and a quiet month, you're either paying for unused minutes or sweating overage rates. Pay-as-you-go tools win that comparison.
- One specific language is weaker. Happy Scribe spreads itself across 120+ languages. For most major ones the accuracy is solid; for some (regional Spanish variants, specific Arabic dialects, low-resource African and South Asian languages) the output is uneven enough to need heavy editing.
- Editor and team workflow limits. The collaborative editor is fine for small teams. Larger ops or anyone doing 50+ hours a month tends to want more lanes, faster bulk processing, or an API.
For a deeper look at where Happy Scribe lands today, see the full Happy Scribe review. If none of the three patterns is your problem, stay where you are.
What "good for multilingual" actually means
Not all multilingual support is equal. Decide which of these matter before you pick a tool:
- Language and dialect coverage. "100+ languages" looks the same on every comparison chart; the variance is in dialect-level handling.
- Mixed-language audio. If your speakers switch between two languages mid-sentence, most tools transcribe whichever language they detected first and silently drop the other. Few handle this well.
- Subtitle export. SRT and VTT in the target language, with reasonable line breaks. See SRT vs plain transcript: which should you choose? for when you actually need timed captions.
- Translation pipeline. Some tools transcribe then translate in one workflow; others stop at the transcript and you wire translation yourself.
- Price per hour and how you pay. Subscription with quotas, or per-minute pay-as-you-go.
For the workflow side, transcribing multilingual content covers the practical gotchas.
Comparison: 5 alternatives at a glance
| Tool | Languages | Best for | Pricing model | API |
|---|---|---|---|---|
| Sonix | 50+ | Teams, automation | Per-hour subscription | Yes |
| Trint | 40+ | Journalists, editorial | Subscription | Yes |
| Maestra | 80+ | Video and captioning | Subscription | No |
| AssemblyAI | 90+ | Developers, batch APIs | Per-minute API | API only |
| VTS | 90+ | No-subscription, ad-hoc work | Per-minute | No |
Specific numbers and prices change. Link out to each tool's pricing page in the Sources at the bottom and double-check before you commit.
Sonix
Sonix supports 50+ languages and is one of the more polished editors on the market. Its real strength is automation: you can chain transcription, translation, and subtitle export inside a single project, and the API hooks into common workflow tools.
- Strong editor with multi-track support
- Good language coverage across European, Asian, and Latin American Spanish variants
- Built-in translation to 35+ output languages
- Per-hour pricing climbs fast at volume
- Mixed-language audio is still handled segment-by-segment, not within a sentence
For current rates see Sonix pricing: plans and per-hour rates.
Trint
Trint built its business on journalism. It's strong on speaker labeling, search, and the kind of long-form interview workflow newsrooms run. 40+ languages.
- Excellent for long interview content and editorial review
- Good speaker labeling out of the box
- Reliable export to SRT and VTT
- Fewer languages than Happy Scribe
- Subscription-only, no pay-as-you-go entry point
- More expensive at low volumes
If you mostly transcribe English interviews and only occasionally need another language, Trint is worth a look. See Trint pricing in 2026: plans, per-hour rates for the math.
Maestra
Maestra targets the video and captioning side. 80+ languages of transcription plus an in-app translation pipeline, built around the workflow of subtitling videos for international release.
- Strong subtitle workflow with translation built in
- Good language coverage
- Designed for video editors specifically
- Less suited to long interview or podcast workflows
- Subscription model with per-language add-ons that complicate pricing
AssemblyAI
If you're a developer building transcription into a product, AssemblyAI is the most credible alternative on this list. 90+ languages, a clean API, transparent per-minute pricing.
- Per-minute API pricing, no subscription
- Strong English accuracy and good non-English coverage
- Real-time streaming option
- API-only, no editor, no batch UI
- You're building the rest of the workflow yourself
For the full developer-side picture, see AssemblyAI alternatives: 6 speech-to-text APIs compared.
VTS
Our own tool. VTS is per-minute pay-as-you-go: no subscription, no monthly minimum. We run a Whisper-based pipeline that supports 90+ languages and exports SRT, VTT, or plain transcripts. There's no editor, no team seats, no quota. You pay only for the minutes you transcribe.
- No subscription, useful for irregular volume
- Whisper-grade accuracy across most major languages
- SRT and VTT export included
- No collaborative editor (download and edit locally)
- No built-in translation step (transcribe-then-translate is a two-tool workflow)
- Best for individuals or small teams, not newsroom-scale collaboration
You can transcribe a multilingual file right now and pay per minute, with no signup minimum.
Paste any public link or upload a file and get a clean transcript in minutes. First 3 clips every month are on us — no card required.
How to pick
- Pick Sonix if you want one platform that does transcription, translation, and subtitles with team collaboration.
- Pick Trint if you're a journalist or editorial team and the interview workflow matters more than language count.
- Pick Maestra if you're captioning video at scale and want the translation step built in.
- Pick AssemblyAI if you're a developer building transcription into a product.
- Pick VTS if you transcribe in bursts, dislike subscriptions, and want a simple per-minute bill.
The honest verdict: Happy Scribe is still solid for most users. People mostly leave for pricing or because one specific language under-performs for them. Try one of the alternatives above against the same file you struggled with and trust your ears.
