Soniox Alternatives in 2026: 3 Speech to Text APIs for Three Different Jobs

If you are leaving Soniox, the right replacement depends on what your transcripts have to do after the words are captured, because Soniox is built as one unified speech layer and its rivals are built around different centres of gravity. Soniox covers speech to text, text to speech, and real time translation in more than 60 languages through one API, with diarization, language identification, and formatting bundled into a low hourly rate. The three honest alternatives here split by job. Gladia is the pick when the transcript is the start of a data pipeline, with audio intelligence, entity capture, and EU data residency built around the transcription itself. Speechmatics is the pick when deployment control decides the purchase, because it can run in the cloud, on premise, on device, or air gapped, with a model range that includes a dedicated medical model. Inworld AI is the pick when speech to text is one part of a live consumer voice app, sitting next to its own text to speech and speech to speech models and its open model inference. All four sit in this directory under Audio and Voice. One warning up front: Gladia prices in euros, printed here in euros, and Speechmatics shows its lowest rate under discount banners, covered in its section. Every price below comes from the vendor's own pages, read in full on November 15, 2026.

Why do teams look for a Soniox alternative at all?

Soniox is a multilingual speech AI platform, per its homepage read on November 15, 2026. One unified API covers speech to text, text to speech, and real time translation across more than 60 languages and, for translation, 3,600 language pairs. A single model covers every language, so there are no per language models to load or switch, speakers can change language mid sentence without manual configuration, and the same call that transcribes can also translate.

That design has a clear centre of gravity: the live, multilingual product. Teams look for an alternative when their centre of gravity sits somewhere else. The first pressure is the recorded archive: a team whose real work is thousands of hours of recorded calls, meetings, and media usually needs the transcript enriched and pushed into a CRM, a warehouse, or a coaching workflow, and judges a provider on that pipeline rather than on streaming. The second pressure is deployment: a regulated team whose audio cannot leave its own infrastructure needs on premise, on device, or air gapped running, which a hosted only API cannot offer. The third pressure is the shape of the product: a consumer app that listens, reasons, and talks back needs speech to text priced and engineered as one component of a full realtime voice stack, not as the whole purchase.

The meter matters too, and it differs in each product here. Soniox meters tokens and expresses the result as an hourly equivalent. Gladia meters hours of audio from a prepaid credit wallet, with audio intelligence features billed per hour on top. Speechmatics meters hours through purchased credits, with the model you choose setting the rate. Inworld meters an hour of audio for speech to text inside a credit balance that also pays for text to speech and language model inference.

One disclosure before the picks. Soniox itself has never appeared in any article on this site before today, not as a pick, not in a left out section, and not as a passing link, which is part of why it leads this page. The three picks have each been mentioned on this site before, but never together: no earlier page here seats Gladia, Speechmatics, and Inworld AI as a set, and the left out section at the end explains, on the records, why other strong speech to text providers are not on this page.

What does Soniox do well, and where does it stop?

Soniox does the unified multilingual speech layer well. Per its homepage, its speech to text transcribes in real time across more than 60 languages, word by word as speech happens, separates and identifies speakers in fast or overlapping conversation, and captures alphanumerics such as phone numbers and reference IDs exactly as spoken. Translation is built into the speech to text call rather than sold as a separate service, in one way form for live captions, meetings, and broadcasts, and two way form so both sides of a conversation can speak naturally.

Where it stops is specialisation at the edges. The first stop is enrichment depth: Soniox returns transcripts and translations, but the audio intelligence layer of sentiment, entities, summaries, and PII redaction that a conversation intelligence product needs is the centre of Gladia's offer, not Soniox's. The second stop is deployment: Soniox is a hosted API, so a team that must run recognition inside its own walls, on a device, or with no network at all has no Soniox option to choose. The third stop is model choice: one unified model is a strength for language coverage, but a buyer who wants a dedicated medical model, a voice agent model with built in turn detection, or a cheaper cost optimised tier is asking for a catalogue, and Soniox sells a single engine instead.

Pricing, from its own pricing page read in full, is token based with the hourly equivalents stated by the vendor itself. Speech to text is equivalent to about $0.10 per hour for async file transcription and about $0.12 per hour for real time streaming. Translation is included at no extra cost in the same call, and speaker diarization, language identification, and smart formatting are bundled into the hourly rate rather than charged as add ons, both points stated in the pricing page FAQ. Text to speech is token based at $4.00 per million input text tokens and $21.50 per million output audio tokens, equivalent to about $0.70 per hour of generated speech. There are no seats and no plan tiers on the page: you pay for what you use, or contact the vendor for a custom package.

Which Soniox alternative fits a team whose transcripts feed a data pipeline?

Gladia, per its homepage and its own pricing material read on November 15, 2026. Gladia describes itself as end to end audio infrastructure for voice products: record, transcribe, and enrich audio through a single API, with precise key entity capture, true multilingual support, and 100 percent EU data residency. The homepage lays the job out as four steps. Capture takes uploads, live streams, or real time microphone input in formats from MP3 and WAV to FLAC and Opus, with SDKs for Python and Node.js and a native meeting bot integration for Zoom, Google Meet, and Microsoft Teams on demand. Transcribe turns that audio into a clean, editable transcript across more than 100 languages with accent sensitive automatic detection. Enrich adds the audio intelligence layer, billed only when you turn it on: an audio to LLM pipeline, PII redaction, semantic sentiment analysis, and entity detection for names, emails, and addresses. Integrate pushes the result to a CRM, database, or data warehouse through webhooks, Zapier, and more than 50 native integrations, under SOC 2 Type II and GDPR, with HIPAA and ISO 27001 also listed on its product pages.

The models split by job, per Gladia's own guide to speech to text APIs. Solaria-1 is the breadth model, covering more than 100 languages with native code switching, automatic language detection, and engineering to reduce invented words in noisy audio. Solaria-3 is built for real world business audio, noisy, fast paced, and conversational, and is currently async only, so recorded calls and meetings are its home ground.

Choose Gladia over Soniox when the transcript is an input, not the output: when speaker labelled, entity rich records need to land in the systems your team already runs, when European data residency is a requirement rather than a preference, or when your archive is recorded audio at scale and the async rate is the number that matters. Stay with Soniox when the product is live and multilingual first, because Gladia's strongest model is async only and its real time rate, below, is several times its async rate.

Pricing, from Gladia's own pages, is in euros and runs from a prepaid credit wallet with no subscription. Every account starts with 50 euros in free transcription credits, which the vendor equates to roughly 312 hours of async transcription on Solaria-3, 185 hours on Solaria-1, or 73 hours of real time. Self serve async transcription starts at 0.16 euros per hour on Solaria-3 and 0.27 euros per hour on Solaria-1, and the async rate drops automatically as monthly volume grows, down to 0.12 euros per hour on Solaria-3 and 0.21 euros on Solaria-1 above 10,000 hours a month. Real time transcription is 0.68 euros per hour. Audio intelligence add ons cost 0.02 to 0.07 euros per hour each, so a fully enriched hour costs more than the base rate and the testing section below tells you to price your own feature set. Top ups of 1,000 euros or more earn 10 to 20 percent in bonus credits. Enterprise is an annual plan at custom pricing with unlimited concurrency, custom models and fine tuning, zero data retention, custom hosting, and SLAs.

Which Soniox alternative fits a team whose audio cannot leave the building?

Speechmatics, per its homepage and pricing page read on November 15, 2026. Speechmatics sells speech APIs powering voice AI, centred on a speech to text API that processes recorded files or live audio and returns transcripts for captions, search, analytics, records, and voice AI. Its homepage FAQ states the deployment range plainly: cloud, on premise, and on device, with ISO 27001, GDPR, HIPAA, and SOC 2 Type II compliance. Its pricing page FAQ goes one step further and lists on prem containers, virtual appliances, hybrid deployments, and on device as Enterprise options. For a hospital, a court reporting firm, or a contact centre under a strict data agreement, that range is the whole argument: the same recognition engine can sit wherever the audio is allowed to live.

The second difference is the catalogue. Where Soniox sells one unified model, Speechmatics sells a range and lets the job pick the rate. Melia 1 is the multilingual model, transcribing 56 languages without choosing one up front and switching language mid sentence. Enhanced is the highest accuracy general model, where you pick the language for each transcription, with custom dictionary and advanced punctuation. Oak 1 is the medical model, built for clinical language such as drug names, dosages, abbreviations, and procedure terms. Linden 1 is the real time only voice agent model with built in turn detection. Standard is the cost effective tier with the same features as Enhanced at lower accuracy. Speaker diarization is available on every model in the pricing page table, and smart formatting and word level timings are included across the range. The homepage adds real time speech to text in 350 milliseconds, 55 plus languages with code switching, and a free start: new accounts get $100 in credit with no card required. Its accuracy claim needs its label: the homepage FAQ cites independent testing by Pipecat, dated August 2026 on the page, returning a 1.07 percent pooled word error rate, the lowest of the 12 services benchmarked.

Choose Speechmatics over Soniox when deployment is the deciding constraint, when a dedicated medical model matters, or when you want to trade accuracy against cost model by model instead of accepting one engine. Stay with Soniox when you want translation inside the same call at no extra cost, because on Speechmatics translation is a paid add on, priced below, and when you want a single simple rate rather than a catalogue to manage.

Pricing needs the disclosure promised in the opening. Speechmatics pricing is usage based: you buy credits, one credit equals $1 before discounts, and usage consumes them down to the second at an hourly rate. The rates rendered on the pricing page for pre recorded transcription are $0.12 per hour for Melia 1, $0.38 for Enhanced, $0.15 for Oak 1, $0.15 for the real time only Linden 1, and $0.23 for Standard. The same page carries two discount banners at the top, a 33 percent model training discount and a volume discount of up to 25 percent off every credit, and its FAQ explains that the training discount is an opt in program that takes 33 percent off speech to text rates in exchange for permission to use your audio and transcripts to improve its models. Read together, the headline rates sit under those discount banners, so treat $0.12 as the discounted end of the range rather than the walk in rate, and get your effective rate, with your training choice stated, in writing before you budget. Add ons are priced per hour on top: translation at $0.49, chapters at $0.30, topics at $0.15, summaries at $0.09, and sentiment at $0.09, with PII redaction, entity detection, and audio alignment on request. Text to speech is $0.011 per 1,000 characters, with the first 1 million characters free. The three ways to pay for the same Pro tier are pay as you go at standard rates, one off credit packs discounted by size, and a subscription for the best per credit price; sign up bonus, credit pack, and annual subscription credits last 12 months, and monthly subscription credits last 2 months. If you have not opted in to the training program, real time inputs and outputs are never stored and pre recorded data auto deletes after 7 days, per the pricing page FAQ.

Which Soniox alternative fits a live consumer voice app?

Inworld AI, per its homepage and pricing page read on November 15, 2026. Inworld describes itself as models and inference for consumer applications: companions, learning, health and fitness, social, personal agents, and entertainment. Its voice models are Realtime TTS-2 and Realtime TTS-2 Flash for text to speech, Realtime STT-1 for speech to text, and a speech to speech model that listens, reasons, and talks back over one WebSocket or WebRTC connection, with your choice of language model per session. That framing is the honest difference from Soniox. Soniox sells the speech layer of the stack, and says so on its own homepage.

For the speech to text job itself, Realtime STT-1 is a streaming model: under 70 milliseconds to a final transcript, per the homepage, with four voice traits returned alongside the words, emotion, style, age, and accent.

Choose Inworld over Soniox when speech to text is one component of a spoken product you are building end to end, when you want the transcript, the reply, and the voice on one credit balance and one bill, or when per user consumer economics matter more than per hour archive economics. Stay with Soniox when transcription is the product, when you need more than 60 languages handled by one model with translation included, or when a pure per hour speech rate with no plan structure is easier to run.

Pricing is a credit system, and it works differently from the other three pages here. On the pricing page, plans grant monthly credits equal to the plan price, and usage across text to speech, speech to text, and language model inference is deducted from that balance at your tier's rates. On Demand is $0 pay as you go, with Realtime STT-1 at $0.15 per hour of audio, text to speech at $25 per million characters for TTS-2 and $15 for Flash, up to 70 minutes of text to speech included, and a commercial licence. Paid plans are Creator at $25 a month, Builder at $100, Developer at $300, and Growth at $1,500, with Enterprise custom. On every paid plan the speech to text rate drops to $0.10 per hour, and text to speech rates step down by tier, TTS-2 from $20 per million characters on Creator to $12.50 on Growth and as low as $5 on Enterprise. Unused subscription credits roll over for up to 3 months while an equal or higher paid plan stays active, overage can be covered by buying more credits or enabling auto reload, and downgrades and cancellations take effect at the end of the billing period, when remaining credits are forfeited. One small conflict to note, disclosed rather than smoothed over: the homepage's own summary card prices Realtime STT-1 at $0.10 an hour with no plan qualifier, while the pricing page puts $0.15 on On Demand and $0.10 on paid plans. The pricing page is the more detailed source, so this page uses its figures and tells pay as you go readers to expect $0.15 until they hold a paid plan.

How do the four compare side by side, and what does a workload cost?

All four turn speech into text through an API, and all four handle more than one language, diarization, and real time work. They part on what surrounds the transcript. Soniox bundles translation into the transcription call and sells one model for more than 60 languages. Gladia builds the enrichment and delivery pipeline around the transcript and leads on recorded audio in more than 100 languages. Speechmatics sells deployment range and a model catalogue, including medical and on device options the other three do not offer in the same way. Inworld folds speech to text into a consumer voice stack where the same credits also buy the reply and the voice.

The worked examples below are this page's own arithmetic from the vendor rates above, with the assumptions stated, not vendor claims. Take a team transcribing 100 hours of recorded audio a month, base transcription only, no add ons. On Soniox async, 100 hours at $0.10 is $10 a month, $120 a year. On Gladia Solaria-3 async, 100 hours at 0.16 euros is 16 euros a month before any enrichment add ons, and less per hour once monthly volume passes the automatic discount steps. On Speechmatics pre recorded, 100 hours is $12 at the headline Melia 1 rate, $23 on Standard, and $38 on Enhanced, with the discount warning from its section applying to every one of those totals, because the headline rates sit under the training and volume discount banners. On Inworld, 100 hours at the On Demand speech to text rate of $0.15 is $15 of usage with no plan fee, while on the $25 Creator plan the same 100 hours at $0.10 is $10 of usage drawn from the $25 monthly credit, so the month costs $25 in total if speech to text is all you use, and the remaining credit is only worth anything if your app also spends it on text to speech or inference.

How should you test these tools before switching?

Test on your own hardest audio, not on a vendor demo. Take ten hours that represent your real work, noisy calls, accented speakers, overlapping talk, and the names, numbers, and reference IDs your product cannot afford to get wrong, and run the identical set through each candidate. Score the transcripts on the errors that cost you something: wrong entities, wrong numbers, missed speaker changes, and invented words in silence or noise.

Price the whole job, in writing, before you commit. For Soniox, confirm whether your use stays inside the hourly equivalents or whether translation, custom context, and output volume move you onto the token rates in a way that changes the total. For Gladia, list every audio intelligence feature you will actually switch on and add its per hour rate to the base, then confirm your training opt out position and your residency region. For Speechmatics, get your effective per hour rate in writing with your model training choice stated, because the page's headline rates sit under discount banners, and confirm which add ons your model supports, since the table varies by model. For Inworld, model the full conversation, speech to text plus language model tokens plus text to speech characters, because a live agent's bill is all three, and confirm how credits expire on the plan you are considering.

Check the operating terms that only hurt later. Ask each vendor what happens to your audio and transcripts by default, how long they are kept, and whether they can be used for training on your plan.

What did we leave out, and why?

Deepgram and Rev AI are the two strongest omissions, and both are left out for the same reason: each already leads its own alternatives page on this site, Deepgram alternatives and Rev AI alternatives, so this page rotates to a set that has not been seated together here before. Either belongs on your own shortlist if low latency streaming infrastructure or a transcription house's accuracy heritage is your deciding factor. AssemblyAI is left out on the freshness records rather than on quality: the natural peer set of Gladia, Speechmatics, and AssemblyAI has already appeared together in earlier pages on this site, so seating it again here would repeat a comparison this site has already published, and its own guide coverage sits alongside the ElevenLabs alternatives page's territory of speech understanding platforms. ElevenLabs itself is left out on the job: it is a text to speech first platform whose transcription product is the newer half of its stack, and it already leads its own page here.

Frequently asked questions