Text to Speech Mawakili Muziki Usemi kwa Maandiko Sauti Yaungana Voice Design Marketplace Na zaidi

KIKUNDI CHA TTSona

Linganisha mifano 20 ya watu wapatao 20+ kwenye maandishi. Alama rasmi, viwango vya jamii, na milinganisho ya kando.

Fanyeni Ishara kwa Hiari

Ulinganifu wa Upande mmoja hadi mwingine

Aina ya maandishi, chagua mifano miwili, na ulinganishe matokeo.

Watu walio vielelezo huru hufanya kazi bila kuwa na akaunti. Tia sahihi na kulinganisha mifano ya malipo.

Kikosi cha Magendo

# Mfano Ofisa Jumuiya Viwango Vyako Mwendo Tier
1
Kokoro
Kokoro
Lightweight 82M parameter model delivering studio-quality speech with blazing-fast inference.
82M 1200h 2024
4.8 /5 5.0 /5
1 print operation status
fast Free
2
CosyVoice 2
CosyVoice 2
Alibaba's scalable streaming TTS with human-parity naturalness and near-zero latency.
300M 200000h 2024
4.26 /5 Hakuna kura Bado
medium Standard
3
Chatterbox
Chatterbox
State-of-the-art zero-shot voice cloning with emotion control from Resemble AI.
300M 2025
4.25 /5 Hakuna kura Bado
medium Premium
4
StyleTTS 2
StyleTTS 2
Human-level text-to-speech through style diffusion and adversarial training.
100M 585h 2024
4.23 /5 Hakuna kura Bado
medium Premium
5
Piper
Piper
A fast, local neural text to speech system optimized for Raspberry Pi and embedded devices.
15M 2023
4.15 /5 Hakuna kura Bado
fast Free
6
MeloTTS
MeloTTS
High-quality multilingual text-to-speech that runs on CPU with minimal latency.
25M 2024
4.13 /5 Hakuna kura Bado
fast Free
7
Dia TTS
Dia TTS
Multi-speaker dialog generation model that creates natural conversations between speakers.
1.6B 2024
4.09 /5 Hakuna kura Bado
medium Standard
8
VITS
VITS
Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech.
25M 585h 2021
4.0 /5 Hakuna kura Bado
fast Free
9
Orpheus
Orpheus
Human-level emotional TTS model trained on 100K hours of speech data.
3B 100000h 2025
4.0 /5 Hakuna kura Bado
medium Standard
10
OpenVoice
OpenVoice
Instant voice cloning with granular control over style, emotion, and accent.
300M 2024
4.0 /5 Hakuna kura Bado
medium Premium
11
IndexTTS-2
IndexTTS-2
Zero-shot TTS with fine-grained emotion control and high expressiveness.
300M 2025
3.91 /5 Hakuna kura Bado
medium Standard
12
Spark TTS
Spark TTS
Voice cloning TTS with controllable emotion and speaking style via prompts.
500M 2025
3.9 /5 Hakuna kura Bado
medium Standard
13
Parler TTS
Parler TTS
Describe the voice you want in natural language and Parler generates matching speech.
880M 45000h 2024
3.83 /5 Hakuna kura Bado
medium Standard
14
Tortoise TTS
Tortoise TTS
Multi-voice text-to-speech focused on quality with autoregressive architecture.
400M 50000h 2022
3.7 /5 Hakuna kura Bado
slow Premium
15
Bark
Bark
Transformer-based text-to-audio model that generates realistic speech, music, and sound effects.
350M 100000h 2023
3.57 /5 Hakuna kura Bado
slow Standard
16
Bark Small
Bark Small
Lighter version of Bark with faster inference and lower memory usage.
150M 100000h 2023
— Hakuna kura Bado
medium Standard
17
GPT-SoVITS
GPT-SoVITS
Few-shot voice cloning TTS that replicates any voice from just 5 seconds of audio.
200M 2024
— Hakuna kura Bado
slow Standard
18
Qwen3 TTS
Qwen3 TTS
Alibaba's multilingual TTS with voice cloning, preset voices, and voice design from text.
1.7B 2025
— Hakuna kura Bado
medium Standard

Michoro ya Benchmark

Alama rasmi ya TTS.ai ina upana wa pande tatu: ukubwa wa kiasili, usahihi, na mwendo wa kasi.

KokoroKokoro

Free
Asili 4.8/5
Accuracy 4.7/5
Mwendo 4.9/5
Kwa ujumla 4.8/5

CosyVoice 2CosyVoice 2

Standard
Asili 4.5/5
Accuracy 4.4/5
Mwendo 3.8/5
Kwa ujumla 4.26/5

ChatterboxChatterbox

Premium
Asili 4.7/5
Accuracy 4.5/5
Mwendo 3.4/5
Kwa ujumla 4.25/5

StyleTTS 2StyleTTS 2

Premium
Asili 4.5/5
Accuracy 4.3/5
Mwendo 3.8/5
Kwa ujumla 4.23/5

PiperPiper

Free
Asili 3.5/5
Accuracy 4.2/5
Mwendo 4.95/5
Kwa ujumla 4.15/5

MeloTTSMeloTTS

Free
Asili 3.8/5
Accuracy 4.1/5
Mwendo 4.6/5
Kwa ujumla 4.13/5

Dia TTSDia TTS

Standard
Asili 4.6/5
Accuracy 4.3/5
Mwendo 3.2/5
Kwa ujumla 4.09/5

VITSVITS

Free
Asili 3.4/5
Accuracy 4.0/5
Mwendo 4.8/5
Kwa ujumla 4.0/5

OrpheusOrpheus

Standard
Asili 4.3/5
Accuracy 4.1/5
Mwendo 3.5/5
Kwa ujumla 4.0/5

OpenVoiceOpenVoice

Premium
Asili 4.0/5
Accuracy 4.1/5
Mwendo 3.9/5
Kwa ujumla 4.0/5

IndexTTS-2IndexTTS-2

Standard
Asili 4.3/5
Accuracy 4.1/5
Mwendo 3.2/5
Kwa ujumla 3.91/5

Spark TTSSpark TTS

Standard
Asili 4.2/5
Accuracy 4.0/5
Mwendo 3.4/5
Kwa ujumla 3.9/5

Parler TTSParler TTS

Standard
Asili 4.1/5
Accuracy 3.9/5
Mwendo 3.4/5
Kwa ujumla 3.83/5

Tortoise TTSTortoise TTS

Premium
Asili 4.6/5
Accuracy 4.4/5
Mwendo 1.8/5
Kwa ujumla 3.7/5

BarkBark

Standard
Asili 4.2/5
Accuracy 3.8/5
Mwendo 2.5/5
Kwa ujumla 3.57/5

Mbinu za Benchmark

Hatua ya Kupimwa

  • Habari Ngumu: 4x NVIDIA Tesla P40 (4GB VRAM kwa kila mmoja), jumla ya 96GB
  • Maandishi ya mtihani: 5 Mafungu ya kawaida yaliyotia ndani njia tofauti za usemi (kuhara, mazungumzo, ufundi, kihisia - moyo, lugha)
  • Evalution: Vifaa vya kupima sauti, WER, RTF, pamoja na majaribio ya wanadamu
  • Runs: Kila kiolezo kilijaribiwa mara 10 kwa safari moja, kwa wastani kikiwa vingi mno

Kuchambua Criteria

  • Asili (asilimia 40): Prosody, intonation, rhythm, emotion — how human does it sound?
  • Accuracy (30%): Pronunciation correctness, word error rate, intelligibility
  • Mwendo (asilimia 30): Kitendeshi halisi (kipindu cha sekunde / sekunde chache tu). Higher = haraka zaidi.
  • Kwa ujumla: Wastani: 0.4 x Naturality + 0.3 x Accuracy + 0.3 x Speet

Angalia: Benchmarks reflect performance on our specific hardware and test texts. Real-world quality may vary based on input text, language, and voice selection. Community ratings provide a complementary signal based on diverse real usage.

Maswali Ambayo Watu Huuliza Mara Nyingi

The TTS Arena is a leaderboard that ranks AI text-to-speech models based on official benchmark tests and community ratings. Compare models side-by-side, listen to samples, and vote for the ones that sound best to you.

We run standardized tests on each model using the same text passages, hardware, and evaluation criteria. Scores cover naturalness (how human it sounds), accuracy (pronunciation and intelligibility), and speed (generation time). All tests use our GPU server with NVIDIA Tesla P40 GPUs.

Yes! Click the stars next to any model to rate it from 1 to 5. You need to be signed in to vote. Your rating contributes to the community average shown on the leaderboard. You can change your rating at any time.

Type any text, select two models, and click Compare. Both models generate speech from the same text simultaneously. Listen to both and vote for which sounds better. This blind comparison helps identify the best model for your specific needs.

Naturalness measures how human-like the speech sounds (prosody, intonation, rhythm). Accuracy measures pronunciation correctness and intelligibility. Speed measures how fast the model generates audio relative to real-time. Overall is a weighted average of all metrics.

Models without benchmark scores are either newly added and awaiting testing, or require special setup (like gated access tokens) that is pending. Community ratings are still available for these models.

Official benchmarks are updated when models receive significant updates or when new models are added. Community ratings update in real-time as users vote. The leaderboard data is cached for 5 minutes for performance.

Free models (Kokoro, Piper, VITS, MeloTTS) cost 0 credits. Standard models cost 2 credits per 1,000 characters. Premium models cost 4 credits per 1,000 characters and generally offer the highest quality or unique features like voice cloning.

For most use cases, Kokoro (free tier) offers excellent quality. For voice cloning, try Chatterbox or CosyVoice 2. For multilingual content, MeloTTS or CosyVoice 2. For expressive narration, Bark or Dia. Use the comparison tool to test with your specific text.

Yes, you can generate and compare audio from any two models without an account using free-tier models. Voting on models requires a free account. Premium model comparisons require credits.

We strive for objectivity by using standardized test texts, identical hardware, and consistent evaluation criteria across all models. Community ratings provide an additional independent signal. Our methodology is described in the Benchmark Methodology section below.

Models are ranked primarily by official benchmark overall score, then by community average rating as a tiebreaker. Models without benchmarks are ranked below those with benchmarks, ordered by community rating.
5.0/5 (1)

Tafuta Sauti Yako Kamilifu

Jaribu kuwa huru na Kokoro, Piper, VITS, au MeloTTS.

Fanyeni Ishara kwa Hiari Mwono Wenye Kuvutia