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Speechly

Name: Speechly
Author: IndiAI Tools Editorial Team

Real-time voice UI platform for production-ready speech

Free | Freemium | Paid | Enterprise ⭐⭐⭐⭐☆ 4.4/5 🎙️ Voice & Speech 🕒 Updated April 21, 2026

IA Reviewed by the IndiAI Tools editorial team How we review →

Visit Speechly ↗ Official website

Quick Verdict

Speechly is a real-time voice UI platform that converts live speech into intent, slots, and transcripts for web and mobile apps, ideal for product teams building conversational voice features; pricing includes a free tier with usage caps and paid plans for higher request volumes and enterprise support.

Speechly is a real-time Voice & Speech platform that turns spoken input into intents, entities (slots), and streaming transcripts for web, mobile, and embedded applications. It focuses on low-latency, streaming voice UIs that run in the browser or on-device with a client SDK and a cloud runtime. Speechly’s key differentiator is deterministic streaming NLU that outputs increments of intent and slot updates as users speak, serving developers building voice-enabled search, forms, and commands. Pricing is accessible with a free tier for development and paid tiers that scale by monthly active users or request volume.

About Speechly

Speechly is a real-time voice UI platform focused on turning spoken input into structured intent, slot and transcript streams suitable for production apps. Founded in 2016 in Finland, Speechly positions itself as a developer-first solution for embedding voice interactions into web, mobile, and IoT products. Its core value proposition is deterministic, low-latency streaming speech recognition plus natural language understanding (NLU) that emits partial results while a user speaks, enabling responsive conversational interfaces without waiting for full utterances.

Speechly’s feature set centers on streaming ASR, streaming NLU, and SDKs that run in browsers and native apps. The Speechly Client SDKs (JavaScript, React, Android, iOS) provide a live audio pipeline and a WebSocket-based connection to Speechly’s Cloud or self-hosted runtime; they stream partial transcripts and token-level intent/slot updates. The platform supports domain models where you define intents and slots via the Speechly console and train language models; it also provides explicit voice activity detection (VAD), session management for multi-turn flows, and deterministic response hooks so apps can react to partial intents before the user finishes speaking. Additionally, Speechly offers a local inference option (Edge) for reduced latency and privacy-sensitive deployments.

Pricing is tiered with a free tier intended for development, a Growth/Pro tier for small-production usage, and Enterprise/Custom pricing for high-volume or on-premise needs. The free plan includes a limited number of monthly audio minutes and access to SDKs and the console for model creation. Paid plans add higher monthly audio quotas, SLA options, and team features; exact paid-plan prices are published on Speechly’s website or via sales for enterprise. For very large deployments, Speechly offers custom contracts with dedicated support, higher concurrency, and the option for on-prem or private-cloud deployment which are quoted per-customer.

Product teams, voice UX designers, and mobile engineers use Speechly to add command-and-control and voice search capabilities to apps. For example, a Senior Mobile Engineer uses Speechly to reduce user input time by 40% when filling forms via voice, while a Voice UX Designer deploys it to prototype multi-turn voice flows for an e-commerce cart. Speechly competes with cloud ASR+NLU stacks like Google Speech-to-Text + Dialogflow, but distinguishes itself by combining streaming ASR and deterministic streaming NLU in one developer-focused package for real-time voice UIs.

What makes Speechly different

Three capabilities that set Speechly apart from its nearest competitors.

✨ Combined streaming ASR and streaming NLU that outputs partial intent updates as speech occurs.
✨ Edge runtime option allowing private-cloud or on-prem deployments to meet data residency needs.
✨ Developer-focused SDKs (JS, Android, iOS) and a console for defining intents and slot schemas.

Is Speechly right for you?

✅ Best for

Mobile engineers who need low-latency voice commands
Product teams who want streaming intent detection during speech
Voice UX designers prototyping multi-turn conversational flows
Startups who need predictable per-month voice usage quotas

❌ Skip it if

Skip if you require large-scale prebuilt conversational AI agents (bot frameworks).
Skip if you need multi-language support for dozens of rare languages out of the box.

✅ Pros

Streaming NLU emits partial intent and slot updates so UI can react mid-utterance
Client SDKs for browser and native apps simplify integration into production stacks
Edge/self-host options for privacy-sensitive or low-latency deployments

❌ Cons

Limited out-of-the-box language coverage compared to hyperscaler ASR services
Enterprise pricing and on-prem options require sales contact and custom quotes

Speechly Pricing Plans

Current tiers and what you get at each price point. Verified against the vendor's pricing page.

Plan	Price	What you get	Best for
Free	Free	Limited monthly audio minutes and development access, single project	Developers experimenting or early prototypes
Growth	$49/month	Higher monthly minutes, commercial use, basic support	Small production apps and startups
Pro	$299/month	Larger minutes quota, priority support, multiple projects	Growing teams with production traffic
Enterprise	Custom	Custom quotas, SLA, on-prem or private cloud options	Large businesses needing SLAs and integrations

Best Use Cases

Senior Mobile Engineer using it to reduce form-entry time by 30–50% via voice input
Voice UX Designer using it to prototype multi-turn checkout flows with streamed intents
Product Manager using it to add voice search that increases conversion by measurable percent

Integrations

Web (JavaScript SDK) React (React SDK) Android (Android SDK)

How to Use Speechly

1
Create a Speechly project

Sign in at the Speechly Console, click 'New app' or 'Create project', name your voice model, and choose language. Success looks like a project dashboard showing an App ID and workspace for intents and slots.
2
Define intents and slots

Open the project's 'Model' or 'Intents' editor in the console, add intents and slot types, provide example utterances, then click 'Train' so the runtime can serve your model. You should see training status complete.
3
Install the client SDK

Install the Speechly JavaScript or mobile SDK (npm install @speechly/browser-client) and import it; configure it with your App ID and start a microphone session. Success is receiving partial transcripts in the client console.
4
Handle streaming intents in app

Use the SDK's 'onSegment' / 'onIntent' callbacks to update UI as intents arrive, then map slots to form fields or actions. A working result shows UI responding mid-utterance and final transcript on session end.

Speechly vs Alternatives

Bottom line

Choose Speechly over Google Cloud Speech-to-Text if you need deterministic streaming NLU that emits partial intents during live speech.

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Frequently Asked Questions

How much does Speechly cost?+

Speechly has tiered pricing with a Free tier and paid plans starting around $49/month. The Free plan includes a limited monthly audio quota for development; Growth/Pro plans increase monthly minutes, project counts, and support. Enterprise pricing is custom and adds SLAs, higher concurrency, and on-prem options. Check Speechly’s pricing page for current exact quotas and billing metrics.

Is there a free version of Speechly?+

Yes. Speechly offers a Free tier for development with limited monthly audio minutes and one project. The free plan gives access to the console, SDKs, and model training but has restricted production quotas. You can prototype voice UIs, but production apps will likely require a paid Growth or Pro plan for higher usage and support.

How does Speechly compare to Google Cloud Speech-to-Text?+

Speechly combines streaming ASR and deterministic streaming NLU in one service, unlike Google which separates ASR and Dialogflow NLU. That makes Speechly better for low-latency voice UIs that need partial intents during speech. Google offers broader language coverage and larger infrastructure but may require stitching services together for the same streaming behavior.

What is Speechly best used for?+

Speechly is best for building low-latency voice UIs where partial intents and slot updates improve responsiveness. Typical uses include voice search, command-and-control, and multi-turn form entry on web and mobile. It’s particularly suited to apps where streaming feedback as users speak increases conversion or task speed.

How do I get started with Speechly?+

Start by creating a free project in the Speechly Console, define intents and slots, then train the model. Install the JavaScript or mobile SDK, connect using your App ID, and test live microphone sessions. Success is seeing partial transcripts and incremental intents in the SDK callbacks.