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30 languages tested . 7 tools compared . May 2026
The honest multilingual TTS coverage map
We ran the same 50-word sample through 30 languages on seven leading TTS tools. The result is a coverage heatmap that shows, at a glance, which tool actually has native voices for the language you need (and which ones quietly fall back to a half-broken accent).
Last updated by the FreeTTS team · Sources at the bottom
Widest language coverage
FreeTTS at 75+ languages, Google Cloud at 50+, Microsoft Azure at 50+, Amazon Polly at 40+
Best for brand voice consistency
ElevenLabs Multilingual v2 — clone one voice, speak all 32 supported languages with the same speaker character
Best value multilingual stack
FreeTTS PRO at $19/month — one subscription for 75+ languages, 400+ voices, commercial license
Right-to-left language support
Arabic and Hebrew render correctly in FreeTTS, Azure Neural TTS, Google Cloud TTS, and ElevenLabs
Rare language quality caveat
Welsh, Icelandic, Mongolian — coverage exists but voices sound noticeably more robotic than English or Spanish due to smaller training datasets
Free multilingual option
FreeTTS free tier (no signup, 3 guest generations) or Microsoft Edge Read Aloud (built-in, 100+ locales, no audio export)
The coverage map
30 languages × 7 tools, at a glance
Green = native neural voice, full coverage. Amber = partial (one voice only, or limited regional). Empty = no native support.
Language
FreeTTS
ElevenLabs
Google Cloud
Amazon Polly
Azure TTS
Murf
Play.ht
English (US/UK/AU/IN) English
Spanish (ES/MX/AR) Español
French (FR/CA) Français
German Deutsch
Italian Italiano
Portuguese (BR/PT) Português
Dutch Nederlands
Russian Русский
Polish Polski
Turkish Türkçe
Arabic (Standard / SA / EG) العربية
Hebrew עברית
Hindi हिन्दी
Bengali বাংলা
Tamil தமிழ்
Telugu తెలుగు
Marathi मराठी
Urdu اردو
Mandarin (CN/TW/HK) 中文
Cantonese 粵語
Japanese 日本語
Korean 한국어
Vietnamese Tiếng Việt
Thai ภาษาไทย
Indonesian Bahasa Indonesia
Filipino / Tagalog Filipino
Swahili Kiswahili
Welsh Cymraeg
Icelandic Íslenska
Mongolian Монгол
Native voice, full coverage Partial / single voice / regional gaps No native support
By use case
Four ready-made stacks for global teams
Pick the one closest to your situation, swap voices as needed.
Global YouTube creator
One voice, 32 languages
Localise your channel into multiple languages without re-hiring narrators. Use ElevenLabs Multilingual v2 to clone your voice once, generate audio in every target language with the same voice character.
Stack: ElevenLabs Creator + DeepL for translation
$22-30 / month
Indie podcaster, 5 languages
Mix-and-match by language
Use the best free voice per language. FreeTTS PRO covers 75+ languages with native neural voices for $19/mo. Mix English voice for the host, native voices for translated segments.
Stack: FreeTTS PRO (75+ languages, single subscription)
$19 / month
Enterprise L&D team
Compliance training, 12 languages
Same compliance module rendered in 12 languages without per-language voice actor budget. FreeTTS Creator handles the volume across all major regional accents.
Stack: FreeTTS Creator
$39+/month
Rare-language project
Welsh, Icelandic, Tamil, Mongolian
For uncommon languages, your options narrow to FreeTTS, Google Cloud TTS, and Amazon Polly. Voice quality is functional, not flagship. Test with a native speaker before committing.
Stack: FreeTTS PRO + Google Cloud TTS fallback
$19 + usage
The clever feature
Voice consistency across languages
When you need the same voice character to speak in every language.
Same voice, multiple languages
Most TTS tools give you a separate voice per language: French Marie, German Hans, Japanese Hiro. Three good voices, three different speakers. For global brand campaigns or character voices in fiction, you often want the same voice character speaking every language. Two tools handle this in 2026:
ElevenLabs Multilingual v2 — Clone any voice once, speak in 32 languages with consistent tone. Industry-leading on this dimension.
FreeTTS Multilingual voices — Andrew Multilingual and Ava Multilingual cover ~12 languages each with a consistent voice character.
For most global YouTube channels, ElevenLabs is the right pick. For narration in 12+ major languages with one voice, FreeTTS Multilingual voices are sufficient and cheaper.
How we tested
The methodology
Same 50-word sample
A neutral 50-word paragraph (mix of declarative and interrogative sentences, common everyday vocabulary) translated by a native speaker for each of the 30 languages.
Native-speaker rating
Coverage was rated by native speakers of each language. "Full" = native speaker would not flag the audio as broken. "Partial" = noticeable accent or only one voice option.
Voice variety counted
"Full" coverage requires at least two voices in the language. Single-voice coverage marked as partial regardless of quality.
Tested May 2026
Voice catalogs change. We re-test quarterly. The matrix you see here was verified the week of May 19-23, 2026.
No paid placement
FreeTTS owns this page. We rated our own coverage honestly (we are partial on Bengali and Marathi due to single-voice availability, full on the major languages).
Hard cases noted
Tonal languages (Mandarin, Vietnamese, Cantonese), RTL scripts (Arabic, Hebrew, Urdu), and morphologically rich languages (Finnish, Hungarian, Turkish) were tested separately and the results are reflected in the matrix.
FAQ
Multilingual TTS questions
Which free TTS supports the most languages?▼
FreeTTS at 75+ languages, Google Cloud Text-to-Speech at 50+ languages on the free tier, and Amazon Polly at 40+. ElevenLabs supports 32 languages but with the unique benefit of using the same voice across all of them.
What's the best TTS for Arabic, specifically?▼
FreeTTS has multiple Arabic voices including Standard Arabic, Saudi (ar-SA), and Egyptian (ar-EG). Microsoft Azure Neural TTS has the most natural Arabic voices in 2026. ElevenLabs has Arabic but the prosody is occasionally off for native speakers. See our dedicated /best-arabic-text-to-speech-tools page.
Can I use the same voice across multiple languages?▼
Yes, on ElevenLabs (their Multilingual v2 model holds voice character across 32 languages from the same speaker) and on FreeTTS using the Andrew Multilingual or Ava Multilingual voices. This matters for global brand consistency or character voices in fiction.
Which tools handle right-to-left languages well?▼
Arabic and Hebrew render correctly in FreeTTS, Microsoft Azure Neural TTS, Google Cloud TTS, and ElevenLabs. Watch for: SSML tag support varies, mixed RTL+LTR text occasionally trips older engines. Test with a sample paragraph before committing to a tool.
Are AI voices for rare languages (Welsh, Icelandic, Mongolian) actually natural?▼
Mostly no. Coverage exists on FreeTTS, Google Cloud, and Amazon Polly for these languages, but the voices were trained on smaller datasets and sound noticeably more robotic than English or Spanish. Native speakers will notice. Use only when the message matters more than the polish.
Best multilingual TTS for global e-learning teams?▼
FreeTTS Creator at $39/mo for 75+ languages and 5M chars/month, paired with ElevenLabs Creator at $22/mo for the rare cases needing flagship voice realism. Most enterprise L&D teams run both subscriptions in parallel.
Does multilingual TTS handle code-switching mid-sentence?▼
Partially. FreeTTS and Azure handle Spanglish or French-English mixing reasonably if you tag the languages with SSML. ElevenLabs Multilingual v2 handles it natively without tags. For pure code-switching content, ElevenLabs is the strongest pick.
What about Indian regional languages (Tamil, Telugu, Marathi, Bengali)?▼
FreeTTS, Google Cloud TTS, and Amazon Polly all cover the major Indian regional languages. Voice variety is thinner than English (1-3 voices each vs 40+ for English), but the quality is broadcast-acceptable for narration and accessibility use.
Is there a multilingual TTS for free with no signup?▼
FreeTTS, no signup required for guest tier (3 free generations, 1,000 chars per gen). Free signed-in account gets 5,000 chars/month. Microsoft Edge Read Aloud is also free, no signup, multilingual, but no audio export.
How accurate is the pronunciation in non-English languages?▼
On Microsoft Azure neural voices (FreeTTS), Google Cloud, and ElevenLabs, native pronunciation is generally accurate for the major languages (top 30 by speaker count). For tonal languages like Mandarin and Vietnamese, FreeTTS and Google Cloud do best. For Arabic diacritics, Azure Neural is currently strongest.
Can I export multilingual SRT subtitles too?▼
Yes, on FreeTTS at /srt. Subtitles are generated alongside the audio with millisecond-accurate timing in the same language as the voice. Useful for global YouTube uploads with auto-generated subs in 75+ languages.
What about voice cloning across languages?▼
ElevenLabs Multilingual v2 lets you clone a voice once (in any language) and have it speak in any of 32 supported languages with the original speaker's tone. Powerful and unique. No other tool does this in May 2026.
How do I handle translation — do TTS tools translate too?▼
Most don't translate, they just speak in the target language. The translation workflow is: DeepL or Google Translate for the text, then your TTS tool for the audio. ElevenLabs has a video translation feature that combines the two, but it's for dubbing existing video, not raw text. For text-to-multilingual-audio, you translate first, then generate.
Can I mix languages in one audio file?▼
Yes, with SSML lang tags. Most tools let you tag sections: <lang xml:lang='es'>Hola mundo</lang> inside an otherwise English script. FreeTTS, Azure, Google, and ElevenLabs all handle this. ElevenLabs Multilingual v2 handles it without explicit tags — it detects language from context. Test with a mixed paragraph first before generating a long file.
Which multilingual TTS is best for audio SEO and podcast localization?▼
FreeTTS PRO is the most cost-effective for high-volume localization (75+ languages, 1M chars/month at $19). For podcast dubbing specifically — where the cloned host voice needs to sound consistent in every market — ElevenLabs Creator is worth the premium. The Multilingual v2 model keeps vocal personality across languages, which matters for brand recognition.