whatmodel.sh · find the best text-to-speech models you can run

Best text-to-speech models to run locally on a 2GB Mac

A leaderboard of the best text-to-speech models you can run locally on a Mac with 2GB of memory. Wayu-Paxa-TTS-Edge is #1 right now, followed by IndexTTS (v1) and ZipVoice. Models are ranked by one score that combines 102 published benchmarks. Each model shows the download that fits and the command to run it.

24 models · 102 benchmarks · updated
Filter by your hardware and budget → ~1GB fast · local only · reset
ram[2][4][8][16][24][32][48][64][96][128][192][256]
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gpu[apple silicon][graphics card][unified memory][none]
price[local][$1][$2][$5][$10][$20][$50][any]max per M chars
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task[all tasks][voice cloning]
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Run curl "whatmodel.sh/tts?ram=2&gpu=apple&max=0"to get this list in your terminal (add &format=json for agents).

Score vs release date

#modelscore↓where↓RAM↓speed↓get itsources
#modelscore↓where↓RAM↓speed↓get itsources
29Wayu-Paxa-TTS-Edge · fp32 (wayu-tts package) Wayu Research / Paxa Labs64±4†local~0.3GBhow to run › Building and Evaluating Fixed-Voice Thai TTS from Synthetic Speech (Wayu Research / Paxa Labs / Typhoon; arXiv:2609.03502v1)
39IndexTTS (v1) · fp32 on CPU (index-tts repo CLI `indextts`) IndexTeam (bilibili)62±3local~1.2GBhow to run › DiSTAR: Diffusion over a Scalable Token Autoregressive Representation for Speech Generation (arXiv:2510.12210v2)
41ZipVoice · fp32 (ZipVoice repo) k2-fsa (Xiaomi)62±3local~0.6GBhow to run › OmniVoice: Towards Omnilingual Zero-Shot Text-to-Speech with Diffusion Language Models (arXiv:2604.00688v3)RVCBench: Benchmarking Robustness of Voice Cloning Across Modern Audio Generation Models (arXiv:2602.00443v2)
50E2 TTS Base (F5-TTS reproduction) · fp32 SWivid (SJTU X-LANCE)60±2local~1.3GBhow to run › DiSTAR: Diffusion over a Scalable Token Autoregressive Representation for Speech Generation (arXiv:2510.12210v2)F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching (arXiv:2410.06885v1)TTSDS2 listening test results (ttsds/listening_test)An Evaluation Framework for TTS Voice Reconstruction (SAP dysarthric speakers; arXiv:2606.21343v1)TTSDS2 multilingual benchmark results (ttsds/leaderboard_data)
64Supertonic 3 · onnx-fp32 (supertonic Python SDK 1.3.x) Supertone55±10*local~0.4GBhow to run › Arabic TTS Arena (Navid AI) · leaderboard snapshot 2026-09-24
74Kokoro 82M v1.0 · bf16 hexgrad52±3local~0.7GBhow to run › EmergentTTS-Eval six-category leaderboardParadee: Distilling Kokoro-82M into an 8M-Parameter Single-Voice TTS Model (arXiv:2610.06817v1), Table 3 small-model comparisoncarun/tts-bench: intelligibility benchmark of four open TTS engines (published run, 2026-09-10)RW-Voice-EQ Bench (Hume AI)
79OpenVoice V1 · fp32 (myshell-ai/OpenVoice) MyShell51±15*local~0.3GBhow to run › TTSDS v1 published results
85MMS TTS Amharic · fp32 (transformers VitsModel) Meta50±16*local~0.2GBhow to run › Addis AI Amharic TTS benchmark
97Piper (en_US lessac medium) · onnx-fp32 (piper-tts 1.8.0) Open Home Foundation (Piper)47±5*local~0.1GBhow to run › Paradee: Distilling Kokoro-82M into an 8M-Parameter Single-Voice TTS Model (arXiv:2610.06817v1), Table 3 small-model comparison
103GPT-SoVITS v2 · fp32 (repo api_v2.py) RVC-Boss44±4local~1.1GBhow to run › TTSDS2 listening test results (ttsds/listening_test)TTSDS2 multilingual benchmark results (ttsds/leaderboard_data)
105MeloTTS English · fp32 (MeloTTS repo CLI) MyShell44±5local~0.7GBhow to run › VERSA toolkit paper: TTS demonstration (arXiv:2412.17667v2)Audio Deepfake Detection in the Age of Advanced Text-to-Speech models (arXiv:2601.20510v1)
107Nabra-82M v0.1 · fp32 (Kokoro KModel, Oddadmix/kokoro fork) oddadmix41±10*local~0.3GBhow to run › Arabic TTS Arena (Navid AI) · leaderboard snapshot 2026-09-24
108EMA Lightning · fp32 (PyTorch) EMA Lightning (canberkkkkkk)41±3*local~0GBhow to run › Antalia-2 Mini model card (cloud0day3/antalia-mini), public Freya-TR-Eval re-run tableEMA Lightning model card (canberkkkkkk/ema-lightning), Benchmarks: Freya-TR-Eval
114Magpie TTS Multilingual 357M · f16-gguf (NVIDIA NeMo-Speech.cpp) NVIDIA39±6*local~0.7GB~1×how to run › carun/tts-bench: intelligibility benchmark of four open TTS engines (published run, 2026-09-10)
129OuteTTS 0.2 500M · q8_0 (outetts 0.3.3 + llama-cpp-python) OuteAI31±6*local~0.9GBhow to run › ClonEval · Open Voice Cloning Leaderboard (AMU)
131StyleTTS 2 (LibriTTS) · fp32 (styletts2 PyPI package 0.1.6) Yinghao Aaron Li et al. (Columbia University)30±2local~0.9GBhow to run › TTSDS2 listening test results (ttsds/listening_test)ZS-TTS-Evaluation (Edresson Casanova) · zero-shot TTS metrics of XTTS, YourTTS, TorToiSe and StyleTTS 2StyleTTS-ZS: Efficient High-Quality Zero-Shot Text-to-Speech Synthesis with Distilled Time-Varying Style Diffusion (arXiv:2409.10058v1)DiTTo-TTS: Diffusion Transformers for Scalable Text-to-Speech without Domain-Specific Factors (arXiv:2406.11427v2)An Evaluation Framework for TTS Voice Reconstruction (SAP dysarthric speakers; arXiv:2606.21343v1)RVCBench: Benchmarking Robustness of Voice Cloning Across Modern Audio Generation Models (arXiv:2602.00443v2)+2
138Piper (tr_TR dfki medium) · onnx-fp32 (piper-tts) Open Home Foundation (Piper)27±4*local~0.1GBhow to run › Antalia-2 Mini model card (cloud0day3/antalia-mini), public Freya-TR-Eval re-run table
139OpenVoice V2 · fp32 (myshell-ai/OpenVoice) MyShell25±3local~0.8GBhow to run › TTSDS2 listening test results (ttsds/listening_test)TTSDS2 multilingual benchmark results (ttsds/leaderboard_data)RVCBench: Benchmarking Robustness of Voice Cloning Across Modern Audio Generation Models (arXiv:2602.00443v2)TTSDS v1 published results
141SpeechT5 TTS · fp32 (transformers) Microsoft23±3local~0.7GBhow to run › TTSDS2 listening test results (ttsds/listening_test)TTSDS2 multilingual benchmark results (ttsds/leaderboard_data)
144MMS TTS Turkish · fp32 (transformers VitsModel) Meta18±4*local~0.2GBhow to run › Antalia-2 Mini model card (cloud0day3/antalia-mini), public Freya-TR-Eval re-run table
145YourTTS · fp32 (coqui-tts) Coqui / Edresson Casanova et al.18±3local~0.4GBhow to run › VoiceCraft: Zero-Shot Speech Editing and Text-to-Speech in the Wild (arXiv:2403.16973v3)ZS-TTS-Evaluation (Edresson Casanova) · zero-shot TTS metrics of XTTS, YourTTS, TorToiSe and StyleTTS 2DiTTo-TTS: Diffusion Transformers for Scalable Text-to-Speech without Domain-Specific Factors (arXiv:2406.11427v2)
—Kitten TTS Mini 0.8 · fp32 (mlx-audio) KittenMLno reviewed resultslocal~0.3GBhow to run ›
—LightSpeech + Parallel WaveGAN · fp32 · CPU (microsoft/NeuralSpeech LightSpeech repo, LJSpeech test set) Microsoft NeuralSpeechno reviewed resultslocal~0GBhow to run ›
—Pocket TTS (English) · fp32 (pocket-tts 3.3.0) Kyutaino reviewed resultslocal~0.2GBhow to run ›

+ 165 more don't fit your machine or budget · show them

189 of 189 catalogue models listed here · sources and licences

* new or thinly tested: ranked on too few benchmark results · † only the maker’s own numbers so far · ~RAM is estimated; full context may need more memory

24 models · 102 benchmarks · updated