OuteTTS: the address we list now redirects elsewhere · last checked 13 Nov 2026

OuteTTS

OuteTTS

One-shot voice cloning TTS API with open weights on Hugging Face, billed per second generated.

52/100UnverifiedFrom $10/10 creditsPaid

For cloning a voice from a 10-second sample without a monthly commitment, OuteTTS is the most honest option we've priced: $10 per 10 credits billed per second, non-expiring credits, plus published GGUF/ONNX/FP8/EXL2 weights on Hugging Face is a combination closed vendors like ElevenLabs won't match. Buy a small credit pack first, because you pay before you hear the output. If a live phone agent is the target, latency-test against ElevenLabs Flash before you commit, and if you need a prebuilt connector catalog rather than an SDK, look elsewhere.

Verdict generated

Last checked 9d ago · cite: rightaichoice.com/tools/outetts

Best for
  • Developers shipping voice agents or IVR who need cloning without a training run
  • Indie teams who prefer per-second credits over a recurring monthly subscription
  • SaaS products with spiky week-to-week TTS volume
  • Privacy-sensitive apps that need immediate audio discard and deletable history
Not ideal for
  • Latency-critical live agents that can't absorb a cold-start warm-up request
  • Steady, high-volume synthesis where a flat subscription costs less per unit
  • Teams that need a broad catalog of prebuilt integrations rather than an SDK
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IntermediateFor a developer with an API key, first cloned audio is realistic in under an hour: one 5-10 second sample plus a streaming or batch call via the Python SDK. Studio gets a non-coder to a voice preview in minutes. Self-hosting the GGUF or ONNX weights is a separate, longer job that depends on your own GPU and serving stack.Web · APIAPI availableLast checked 9d ago
Pricing
From $10/10 credits
Paid4 hidden costs
Learning curve
Intermediate
For a developer with an API key, first cloned audio is realistic in under an hour: one 5-10 second sample plus a streaming or batch call via the Python SDK. Studio gets a non-coder to a voice preview in minutes. Self-hosting the GGUF or ONNX weights is a separate, longer job that depends on your own GPU and serving stack.
Runs on
WebAPI
API available
Who it's for
Solo developer building an AI voice agentE-learning producer with multilingual coursesPrivacy-sensitive product team
Live sentiment
Is OuteTTS actually worth it?

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  • Real pros & cons from real users
  • Attributed quotes with receipts
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Skip it if

Skip OuteTTS if you need a prebuilt connector catalog, guaranteed low-latency live telephony out of the box, or a flat monthly rate for steady high-volume synthesis where per-second credits cost more.

Skip-it-if note generated
The 30-second take
Biggest gripe

You buy credit packs at $10 per 10 credits before hearing any output, so a voice that doesn't clone well on your sample leaves credits you still have to spend elsewhere.

Price reality

At $10 per 10 credits billed per second with non-expiring credits, OuteTTS fits indie and early-stage teams whose volume swings month to month. Steady high-volume shops will find a flat monthly plan cheaper per unit, and teams that want a broad managed platform should price ElevenLabs or a cloud TTS service before committing.

Generated

In short

OuteTTS — One-shot voice cloning TTS API with open weights on Hugging Face, billed per second generated. Best for Developers shipping voice agents or IVR who need cloning without a training run, Indie teams who prefer per-second credits over a recurring monthly subscription, SaaS products with spiky week-to-week TTS volume. Plans from $10/10 credits.

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What is OuteTTS?

OuteTTS — One-shot voice cloning TTS API with open weights on Hugging Face, billed per second generated. Best for Developers shipping voice agents or IVR who need cloning without a training run, Indie teams who prefer per-second credits over a recurring monthly subscription, SaaS products with spiky week-to-week TTS volume. Plans from $10/10 credits.

PaidIntermediateAPI availableWeb · API

OuteTTS is a text-to-speech API built around one-shot voice cloning: hand it a 5-10 second clip and it reproduces that voice without a training run, then reads your text across 20+ languages. You buy credits at $10 per 10 credits and pay per second of audio generated, with credits that never expire, so a quiet month and a spiky one carry the same per-unit rate. A streaming endpoint handles real-time playback while a batch endpoint queues jobs for later, and an official Python SDK covers both sync and async. Studio, a no-code browser tool, handles prototyping and voice previews before you write code. Privacy is stated explicitly: input audio is discarded right after processing, samples are never stored or reused for training, session history can be deleted permanently, and API tokens are account-scoped and revocable. What separates OuteTTS from closed vendors is the weights — its Hugging Face organization publishes 32 models including Llama-OuteTTS-1.0-1B (updated Sep 8, 2025, about 2.4k downloads and 246 likes), the 1.0-0.6B family, the 0.3-1B line, and DAC-speech-v1.0-ONNX, with GGUF, ONNX, FP8 and EXL2-8bpw builds covering GPU, CPU and edge paths. That means you can start on the API and take the model in-house later, which closed TTS vendors rarely let you do.

Key features

  • One-shot voice cloning from a 5-10 second audio sample, no fine-tuning
  • Text-to-speech generation across 20+ languages
  • Streaming TTS endpoint for real-time playback
  • Batch generation endpoint for queued jobs
  • Official Python SDK with sync and async support
  • Studio no-code browser tool for prototyping and voice previews
  • Pay-as-you-go credits billed per second of audio, never expiring
  • Input audio discarded immediately after processing
  • Voice samples never stored or reused for model training
  • Session history permanently deletable
  • Account-scoped API tokens with revocation
  • Built-in and cloned voice library management
  • Open weights on Hugging Face: Llama-OuteTTS-1.0-1B updated Sep 8, 2025
  • GGUF, ONNX, FP8 and EXL2-8bpw builds for GPU, CPU or edge self-hosting
  • DAC-speech-v1.0-ONNX available for on-device speech decoding

Behind the verdict

OuteTTS occupies a narrow but useful slot: it is a pay-as-you-go voice cloning API whose models you can also download. Most hosted TTS vendors keep the model private and charge a subscription; OuteTTS publishes 32 models on Hugging Face, including Llama-OuteTTS-1.0-1B (updated Sep 8, 2025, roughly 2.4k downloads and 246 likes), ONNX, FP8, GGUF and EXL2-8bpw variants, plus DAC-speech-v1.0-ONNX for on-device speech decoding. If you build a voice agent on the API and later decide to self-host on a single GPU or an edge box, the weights are already there — that optionality is the strongest argument for choosing it. The API surface is thin by design. Streaming for real-time playback, batch for queued narration, an official Python SDK with sync and async support, and Studio for no-code prototyping and voice previews. Voice management is handled in a library of built-in and cloned voices. Privacy terms are unusually specific: input audio is discarded immediately after processing, samples are never stored or reused for training, session history can be deleted permanently, and API tokens are account-scoped and revocable. Where it falls short: the scraped evidence is a Hugging Face organization listing, so API ceilings, rate limits, character caps and which model variant serves a given request are not documented and cannot be verified. The math on choosing it is simple: if you synthesize sporadically, per-second credits at $10 per 10 credits with no expiry beat a flat subscription; if you run steady high volume, a monthly plan from a larger vendor will likely cost less per unit. And if latency is the product — a live phone agent where a pause is fatal — test it against ElevenLabs Flash before you commit, because a cold start is real.

Models under the hood

Llama-OuteTTS-1.0-1BOuteTTS-1.0-0.6BOuteTTS-0.3-1BDAC-speech-v1.0-ONNX

as of 2026-11-09

Limitations

  • The public evidence is a Hugging Face organization listing, so API ceilings, rate limits, character caps and which model variant serves a given API request are not documented and cannot be verified from the live pages.
  • You buy credits before you hear output, so quality on your specific speaker is unknown until you spend.
  • The weights are distributed in 0.6B and 1B sizes (Llama-OuteTTS-1.0-1B, OuteTTS-1.0-0.6B and the 0.3-1B line) with GGUF, ONNX, FP8 and EXL2 builds, which is good for edge deployment but means quality is bounded by those model sizes rather than a frontier-scale model.
  • The integration surface is deliberately thin — an HTTP API and a Python SDK — so any workflow glue is yours to write.

as of 2026-11-04

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Is OuteTTS still active?

OuteTTS: the address we list now redirects elsewhere · last checked 13 Nov 2026.

Viability score

52/100
Unverified

How well maintained and how widely used is OuteTTS? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
not measured
Traction
100
Site health
40
identity move
not measured
User sentiment
55
What the vendor publishes
20

Last calculated: November 2026

How we score →

What do users say about OuteTTS?

What people actually say about OuteTTS — is it worth it?

Our community sentiment research written Jul 15, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.

How we verified this

Every listed fact about OuteTTS — pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 4 Nov 2026. Analysis is drafted with AI models and checked against our editorial standards before publishing; see how we verify.

Verification history

We have re-verified OuteTTS 12 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. — changed pricing page
  2. — changed features, summary, who should skip it, setup time, description, use cases, pricing fit, pricing tiers, models, switching out, switching in, limitations, our verdict, hidden costs
  3. — changed summary, description, features, pricing tiers, platforms, limitations, pricing page
  4. — changed pricing tiers, summary, description, pricing page
  5. — changed pricing tiers, features, who should skip it, who it suits, description, our verdict, summary
  6. — changed pricing page

Showing the 6 most recent of 12 verification passes.

Free to cite with attribution — this page re-verifies continuously.

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How much does OuteTTS cost in 2026?

OuteTTS: Plans from $10/10 credits. Pricing last verified 4 Nov 2026.

Plans compared

Every published OuteTTS tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.

OuteTTS pricing plans compared
PlanPriceBillingWho it's for
Pay-As-You-Go$10/10 creditsVendor: “$10 per 10 credits”usageIndie developers and small teams with spiky or exploratory TTS volume who don't want a recurring subscription before they know how the cloned voice sounds.Adds: Starting tier: $10 per 10 credits billed per second, credits never expire, with streaming, batch, the Python SDK and Studio included.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
—
Contact sales for a quote
Effective monthly
—
—

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • You buy credit packs at $10 per 10 credits before hearing any output, so a voice that doesn't clone well on your sample leaves credits you still have to spend elsewhere.
  • Credits never expire, which is friendly until you realize unspent balance is money parked at the vendor rather than in your account.
  • Per-second billing scales linearly with duration — a long audiobook or a 24/7 agent multiplies the same rate, with no volume discount or flat-rate ceiling visible in the published pricing.
  • If you hedge and self-host the open GGUF/ONNX/FP8 weights, you take on your own GPU, serving and ops cost; the API credits don't transfer.

Where the pricing makes sense

The company stage and team size where OuteTTS's pricing actually pencils out — and where peers do it cheaper.

At $10 per 10 credits billed per second with non-expiring credits, OuteTTS fits indie and early-stage teams whose volume swings month to month. Steady high-volume shops will find a flat monthly plan cheaper per unit, and teams that want a broad managed platform should price ElevenLabs or a cloud TTS service before committing.

Hidden-cost and price-fit notes generated

Who should pick OuteTTS?

Pick OuteTTS if you are Developers shipping voice agents or IVR who need cloning without a training run, Indie teams who prefer per-second credits over a recurring monthly subscription, SaaS products with spiky week-to-week TTS volume, Privacy-sensitive apps that need immediate audio discard and deletable history.

Look elsewhere if you are Latency-critical live agents that can't absorb a cold-start warm-up request, Steady, high-volume synthesis where a flat subscription costs less per unit, Teams that need a broad catalog of prebuilt integrations rather than an SDK.

Skip it if Skip OuteTTS if you need a prebuilt connector catalog, guaranteed low-latency live telephony out of the box, or a flat monthly rate for steady high-volume synthesis where per-second credits cost more.

Generated

Real-world workflow fit

Concrete scenarios for the personas OuteTTS actually fits — and what changes day-one when you adopt it.

Solo developer building an AI voice agent

Uploads a 10-second clip of their own voice, opens Studio to check it sounds right, then wires the streaming endpoint into a Python async agent using the official SDK.

Outcome: A working cloned-voice agent in a day, paid per second of audio with credits that don't expire.

E-learning producer with multilingual courses

Clones a narrator's voice once, then queues each lesson through the batch endpoint across 20+ languages instead of re-recording per locale.

Outcome: Course narration localized without a studio booking, with source audio discarded after processing.

Privacy-sensitive product team

Uses account-scoped, revocable API tokens and deletes session history, relying on the stated policy that input audio is discarded immediately and samples are never used for training.

Outcome: Voice output shipped without retaining customer audio, and an exit path to the open GGUF/ONNX weights if the vendor relationship changes.

Workflow scenarios generated

Setup time & first value

How long it actually takes to get something useful out of OuteTTS — broken out by persona, not the marketing-page minute.

For a developer with an API key, first cloned audio is realistic in under an hour: one 5-10 second sample plus a streaming or batch call via the Python SDK. Studio gets a non-coder to a voice preview in minutes. Self-hosting the GGUF or ONNX weights is a separate, longer job that depends on your own GPU and serving stack.

Switching to or from OuteTTS

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From ElevenLabs: swap the API call for OuteTTS's streaming or batch endpoint and re-clone each voice from a 5-10 second sample, since voice IDs don't carry over.
  • →From a self-hosted OuteTTS model: start on the API with the same Llama-OuteTTS-1.0-1B family and move inference to the vendor's managed endpoints, or the reverse.
  • →From Google or Amazon TTS: replace the vendor call with the Python SDK and re-record the target speaker's 10-second sample in place of a stock voice ID.
Migrating out
  • ↗To self-hosted OuteTTS: download Llama-OuteTTS-1.0-1B in GGUF, ONNX, FP8 or EXL2-8bpw from Hugging Face and serve the same model family on your own hardware.
  • ↗To ElevenLabs: re-clone your voices on their platform and use their SDK; expect to redo voice setup rather than port it.
  • ↗To a cloud TTS service: map each cloned voice to a stock or custom voice and rewrite the SDK calls, since voice libraries are vendor-specific.

Tutorials & Learning

YouTube returned 6 videos for “OuteTTS”, and we withheld 6: 6 could not be judged, because “OuteTTS” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about OuteTTS.

What are the best OuteTTS alternatives?

The closest alternatives to OuteTTS we list are ElevenLabs, Inworld TTS and Voice AI. Ranked by direct product-type match, not category overlap.

Closest alternatives to OuteTTS
AlternativePricingStarts atLast verified
ElevenLabsFreemiumPricing not published—
Inworld TTSFreemiumPricing not published—
Voice AIFreemiumPricing not published—

Alternatives to OuteTTS

View all
ElevenLabs

ElevenLabs

AI voice platform for text to speech, cloning, dubbing and conversational agents — now with music, SFX and generated video.

FreemiumTry
Inworld TTS

Inworld TTS

Realtime text-to-speech API with 50 ms first audio, 3-second voice cloning and about 500 languages

FreemiumTry
Voice AI

Voice AI

Free real-time voice changer and 10-second voice cloning, plus enterprise AI voice agents that handle inbound and outbound calls.

FreemiumTry

Tools that pair well with OuteTTS

Common stack mates teams adopt alongside OuteTTS, with the specific reason each pairing earns its keep.

OuteTTS vs its closest rival

OuteTTS's closest head-to-head is with Soniox.

Our OuteTTS vs Soniox verdict written Jul 7, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.

Used OuteTTS? Help shape our editorial sentiment research.