AssemblyAI alternative

The best AssemblyAI alternative for
the whole product.

AssemblyAI is a strong speech-to-text API: fast, accurate, well documented, with audio intelligence add-ons for teams building their own pipeline. Speak AI ships the whole product on top of that idea, audio and video analysis, an AI chat interface, a shared archive, and MCP access, ready to use without building a UI first.

★★★★★ G2で4.9 250,000以上のチーム 2018年以降
yourteam.speakai.co
ビデオ通話中に話している参加者Priya R.
ビデオ通話中に聞いている参加者Jordan T.


00:19 / 41:02
PR

Priya R. 00:31
We used AssemblyAI’s API for transcription, but built the dashboard and analytics layer ourselves.
JT

Jordan T. 01:08
Speak AI reads tone, screen, and full context, already built in.
Runs on the models and connects to the tools you already use
Claude チャットGPT Gemini ズーム チーム Meet スラック ザピア and hundreds more
3 layers
Words, voice & screen, read together
100+
サポートされている言語
100+
MCP tools for your AI
6
Ways to capture a conversation
Side by side

AssemblyAI vs Speak AI, API accuracy vs a finished product

AssemblyAI is a leading speech-to-text API. Its Universal model is fast and accurate, and it deserves credit for that. It was built for developers who assemble their own product on top of transcription. Speak AI is that finished product, already assembled. Here is the direct comparison.

特徴 スピークAI AssemblyAI
Audio analysis (tone, emotion, energy) Yes, on Scale plans Sentiment add-on only, no tone or emotion scoring (+$0.02/hr)
Video analysis (what’s on screen) Yes, on Scale plans (reads slides and screens) No video capture or analysis, audio only
Ready-to-use platform, no code Yes, full web app No, developer API only, you build the UI
Real-time streaming はい Yes, $0.45/hr, 6 languages (Universal-3.5 Pro Realtime)
Base transcription rate Included in plan or pay-as-you-go $0.21/hr, Universal-3.5 Pro async (as of Aug 2026)
Audio intelligence features Included automatically Priced per feature, $0.02 to $0.15/hr each
LLM tasks on your data Multi-model AI Chat across your whole library (Claude, GPT, Gemini, Cohere) LLM Gateway, per file, billed per token
Shared team archive はい No, you build storage and retrieval
埋め込み式レコーダー はい No capture mechanism
Multilingual coverage 100以上の言語 18 native languages, falls back to 99 total; 6 for streaming
MCP tools for Claude, ChatGPT, Cursor 100+ tools, 7+ assistants No packaged MCP server
ホワイトラベル / カスタムブランディング はい No end-user white-labeling
AI音声エージェント はい Voice Agent API building block, $4.50/hr all-inclusive, you assemble the agent
G2評価 4.9/5 4.6/5 (100 reviews)
トランスクリプト以上のもの

A transcript alone was never the whole conversation.

AssemblyAI turns audio into structured text and a set of priced add-ons. Speak AI reads the words, the voice, and the visuals together, then keeps all three searchable in one shared archive, no engineering required.

Shared archive

One library, not one API response

Every recording lands in a shared workspace with permissions, folders, and tags, so the whole team can search transcripts across recordings. AssemblyAI returns a response per file; the storage and search layer is yours to build.

Audio analysis

Tone, emotion, and energy in the voice

Speak AI scores how a call actually sounded, beyond what was said. Frustration, hesitation, and confidence get flagged automatically, going beyond a single sentiment score per file.

ビデオ分析

What’s on screen, read and searched

When a screen is shared, Speak AI reads what was on it, slides, dashboards, a competitor’s site, and ties it to the moment in the transcript. AssemblyAI has no video capture or analysis at all.

Any file, live or recorded

Upload audio and video, or capture live

Speak AI ingests uploaded recordings, embeddable recorder sessions, URL imports, and live meetings, with no engineering required to wire up capture. AssemblyAI accepts a file or a stream through the API; the capture layer is yours to build.

NLP analytics, included

Trends across the whole library

Keywords, sentiment, entities, and topics are extracted automatically and tracked over time. AssemblyAI prices sentiment, entity detection, PII redaction, and content moderation as individual add-ons stacked on the base rate.

Context engineering

One system your other tools can query

Every transcript, audio signal, and screen read builds a context engine your team’s applications draw on, through the API, webhooks, or the MCP server, ready to use out of the box.

The full picture

AssemblyAI vs Speak AI: what each tool is actually built for

AssemblyAI and Speak AI solve different problems for different buyers. Here is the honest breakdown, including where AssemblyAI genuinely wins.

What AssemblyAI does well

AssemblyAI is a genuinely strong speech-to-text API. Its Universal-3.5 Pro model transcribes pre-recorded audio at $0.21/hr as of August 2026, with real-time streaming at $0.45/hr and sub-200ms latency across six languages. The audio intelligence suite, sentiment, entity detection, PII redaction, and content moderation, covers a broad set of features through one consistent API, and the $50 free credit with no card required makes it easy to evaluate. For a developer building custom audio infrastructure, AssemblyAI is a well-documented, competitively priced starting point.

Where an API response stops being enough

A JSON payload tells you what was said. It does not tell you that a prospect’s voice tightened when price came up, or that they pulled up a competitor’s pricing page mid-call. Understanding the words, the voice, and the visuals together is the categorical difference between an API and a context engine. Speak AI’s audio analysis reads tone of voice, emotion in voice, and pacing, while its video analysis reads what’s on screen, so a call scoring rubric or a coaching workflow has something real to grade instead of a transcript and a sentiment score. This is multimodal analysis: the words, the tone of voice, and the body language on screen together give your team the full context an API response cannot capture on its own.

Built for a team’s shared archive, not a per-request response

AssemblyAI returns a transcript and analysis object per API call. What you do with it, storage, search, permissions, a UI, is up to you. Speak AI is unified capture across a meeting bot, an embeddable recorder, a mobile app, file uploads, and voice agents, all landing in one searchable knowledge base as the system of record. Sales teams, customer success, research teams, agencies, and operations groups all draw from the same context instead of a database someone has to build and maintain.

Custom applications on top of the context

AssemblyAI’s LLM Gateway, which replaced LeMUR after its March 2026 deprecation, lets developers run LLM tasks against a transcript through the API, billed per token. Speak AI’s AI Chat is the same idea already built: a multi-model interface (Claude, GPT, Gemini, Cohere) that works across any recording, folder, or your entire library, with no separate LLM integration to manage. Teams also build custom applications on the same context through the API, webhooks, or the MCP server, which AssemblyAI does not ship as a packaged product.

Proof

What a shared archive looks like in practice.

A national sports federation needed more than a raw transcription API for its athlete and coach interviews.

“Speak AI helped us process hours of recorded athlete and coach interviews in multiple languages. We could finally identify themes and sentiment patterns across all our qualitative data in a fraction of the time.”

R
リサーチ リード
International Sports Federation

The federation was running multilingual athlete and coach interviews and needed to transcribe field recordings, analyze sentiment across hundreds of sessions, and share findings organization-wide. A raw transcription API would have left the team to build storage, a UI, and cross-file analytics from scratch. Speak AI handled all three: uploading recorded files, running NLP analytics across languages, and delivering a shared dashboard that saved the research team weeks of manual analysis.

MCP, API & integrations

Bring your context into Claude, ChatGPT, and Cursor.

AssemblyAI ships SDKs and an LLM Gateway for developers, but no packaged MCP server for querying your own recording library. Speak AI’s MCP server gives any assistant 100+ tools to search, analyze, and act on your full knowledge base, transcript, audio signals, and screen reads included, in about 60 seconds. No terminal, no npm, no config, backed by a full developer API.

100+
Speak AI MCP tools across 10 categories
0
Packaged MCP tools shipped by AssemblyAI
60s
Setup, one URL
Claude
Ask across every recording, transcript, and field from inside Claude.
チャットGPT
Bring transcripts, themes, and structured data into ChatGPT.
Cursor
Pull conversation data straight into your dev environment.
MCP Server
100+ tools, one endpoint. Works with 7+ assistants and counting.
Your data lives in your Speak AI workspace, and you control what each assistant can access.

Which one is right for you?

Both are good products. They are built for different jobs.

Choose AssemblyAI if you…

  • Are a developer building audio intelligence into a product from scratch
  • Need granular control over which audio intelligence features to activate
  • Want the LLM Gateway for LLM-on-audio tasks within a single-file context
  • Are processing high volumes of audio at a predictable per-minute cost
  • Have an engineering team to build workflows, UI, and data pipelines
  • Need content moderation or PII redaction inside a custom pipeline

以下の場合は Speak AI をお選びください…

  • Want transcription, audio analysis, video analysis, and AI chat without months of engineering
  • Need intelligent engine routing across multiple STT providers
  • Need AI chat across your full recording library (Claude, GPT, Gemini, Cohere)
  • Want NLP analytics included automatically, not billed per add-on
  • Need a ready-to-use platform for non-technical teammates
  • Want an embeddable recorder to capture audio and video from your site or app
  • Need white-label deployment or MCP access without building it yourself
価格

Pricing comparison

Speak AI starts free to evaluate and scales by use. AssemblyAI bills by usage plus per-feature add-ons.

スピークAI

  • Pay as you go: transcription and AI chat, credits-based
  • Individual plan with transcription, storage, AI chat, and analysis included
  • Team plan with shared libraries, collaboration, and priority support
  • Enterprise: custom SSO, data controls, white-label, custom agents
  • Free trial, more credits with a work email

See full Speak AI pricing →

AssemblyAI

  • Pay-as-you-go: $0.21/hr transcription (Universal-3.5 Pro, as of Aug 2026)
  • Real-time streaming: $0.45/hr, 6 languages
  • Audio intelligence add-ons priced individually: $0.02 to $0.15/hr each
  • $50 free credit, no credit card required
  • 4.6/5 on G2, 100 reviews (Speak AI: 4.9/5)
★★★★★  G2で4.9

Teams build on Speak AI.

Real feedback from teams using Speak AI for research, transcription, meetings, and client work.

“「私たちは 数週間 定性分析の ある日. 使いやすく、導入も簡単で、サポートも素晴らしかったです。”
C
コナー H.
Data Analyst
★★★★★ Verified G2 review
“「高精度、多言語対応、洞察力に富んだ分析。 グーグル そして ザピア あらゆることを効率化しやすくする。”
V
フォルカー B.
最高執行責任者
★★★★★ Verified G2 review
“I used to spend 15 to 30 minutes transcribing notes. Now it’s done in seconds, and I’m writing in minutes.”
T
テッドH.
Business Owner
★★★★★ Verified G2 review
“「使い方も簡単で、実際に製品開発チームと連絡を取ることができます。 本物の人間.」”
M
マルクス B.
Medical Director
★★★★★ Verified G2 review

よくある質問

Common questions when comparing Speak AI, AssemblyAI, and other speech-to-text APIs.

Both are strong speech-to-text APIs built for developers, and the better fit depends on your accuracy benchmarks, language needs, and pricing at your volume. Neither is a full platform. If you need transcription plus audio analysis, video analysis, AI chat, and a shared archive with no engineering, Speak AI is built for that instead.

As of August 2026, AssemblyAI’s Universal-3.5 Pro model costs $0.21/hr for pre-recorded audio and $0.45/hr for real-time streaming. Audio intelligence add-ons like sentiment, entity detection, PII redaction, and content moderation are priced separately, from $0.02 to $0.15/hr each. New accounts get $50 in free credit with no card required.

AssemblyAI is a speech-to-text (transcription) API, not text-to-speech (voice generation), so it is not a fit for TTS. If you are looking for transcription and analysis instead, Speak AI offers a trial with no credit card required.

Yes. AssemblyAI and Speak AI both offer transcription APIs. AssemblyAI is API-only. Speak AI’s API sits underneath the same platform your team uses directly, so developers and non-technical teammates work from the same data.

Not indefinitely. AssemblyAI gives new accounts $50 in free credit with no card required, which covers a meaningful amount of evaluation, but usage beyond that is billed per hour. There is no permanent free tier.

Pricing varies by volume, language, and features enabled, and AssemblyAI’s base rate is competitive among API-only providers. Add-ons change the total cost quickly, since each audio intelligence feature bills separately. Compare your actual usage pattern rather than the sticker rate alone.

This depends on the provider. AssemblyAI does not offer text-to-speech, since it transcribes audio to text rather than generating audio from text, so its pricing does not apply here. Check a dedicated TTS provider’s pricing page for current rates.

Several speech-to-text providers, including AssemblyAI, compete closely with Deepgram on accuracy and price, and the right pick depends on your benchmarks. For teams that want more than an API, a full platform like Speak AI adds audio analysis, video analysis, AI chat, and a shared archive on top of transcription.

Yes. Deepgram is an established, well-funded speech-to-text API provider used by many production teams. It is a developer-facing API, similar in scope to AssemblyAI, not a full analysis platform.

Deepgram’s pricing changes periodically, so check its current pricing page for exact rates. Like AssemblyAI, it prices by usage volume with add-ons for extra features.

Yes. AssemblyAI supports telephony audio, including 8kHz call recordings, through models tuned for phone-quality audio. Speak AI also transcribes phone and call-center audio, with call scoring and sentiment analysis included.

Accuracy leaders shift with each model release, and AssemblyAI, Deepgram, and others all publish competitive benchmarks. Speak AI does not rely on a single engine. It routes each file to the best-performing transcription engine for its language and audio conditions.

For teams that need both a developer API and a platform their non-technical teammates can use directly, Speak AI is the stronger choice. For pure API integration with no need for a team-facing interface, AssemblyAI is a solid, well-documented option.

Yes. Speak AI offers a REST API with transcription, speaker diarization, and AI analysis, the same capabilities available in the web platform. Developers build on the API while their team uses the platform interface on the same data.

Speak AI routes files through multiple transcription engines and selects the best one for each job based on language, file type, and audio conditions. This intelligent routing is a core platform differentiator, and Speak AI does not publish its individual provider relationships.

Get the full product. API included.

Transcription, audio analysis, video analysis, file uploads, NLP analytics, multi-model AI chat, and MCP access, all included, no per-feature billing, no engineering required. Book a free consult and see it on your own recording.