Does ElevenLabs handle both speaking and transcription?

Yes. text_to_speech and voice_clone cover synthesis, while speech_to_text transcribes audio with optional speaker diarization. speech_to_speech and isolate_audio round out the audio handling, all from one server.

When would AssemblyAI fit better than ElevenLabs?

For heavy speech-to-text and audio-intelligence workloads, AssemblyAI is the specialist on that axis. ElevenLabs leads when you want synthesis, voice tooling, and transcription together in a single server.

ElevenLabs for voice and audio

Our top pick for voice and audioOfficialElevenLabs

ElevenLabs is our top pick of four for voice and audio because one server covers most of the stack. Its official server brings text-to-speech, voice cloning, speech-to-text, sound effects, and conversational AI into your editor, spanning both jobs the task splits into: turning text into natural speech and turning recorded audio into structured text.

That dual coverage is what earns first place. An agent can narrate, transcribe, and analyze without you gluing separate SDKs together, so building a voice agent, captioning recordings, or mining call audio all run through one tool.

How ElevenLabs fits

The output side is rich: text_to_speech narrates in a chosen voice and model, text_to_voice generates preview variations from a description, voice_clone makes an instant clone from samples, and search_voices, get_voice, list_models, and add_generated_voice_to_library run the voice library. text_to_sound_effects adds sound design. The input side handles understanding: speech_to_text transcribes with optional speaker diarization, isolate_audio removes background noise and music, and speech_to_speech converts one voice into another while keeping the delivery. check_subscription reports usage.

The honest comparison: AssemblyAI is the specialist for speech-to-text and audio intelligence at depth, so for heavy transcription and analysis workloads it may edge ElevenLabs on that one axis. Replicate and fal.ai are multi-model platforms that include audio among other modalities. ElevenLabs leads here because it covers synthesis and transcription together with strong voice tooling in a single server, which is the most complete fit when a project touches the whole voice stack.

Tools you would use

Tool	What it does
text_to_speech	Converts text to speech audio using a specified voice and model.
speech_to_text	Transcribes speech from an audio file, with optional speaker diarization.
text_to_sound_effects	Generates sound effects from a text description within a given duration.
search_voices	Searches existing voices by name, description, labels, or category.
list_models	Lists all available speech-synthesis models.
get_voice	Retrieves detailed information about a specific voice.
voice_clone	Creates an instant voice clone from provided audio sample files.
isolate_audio	Isolates the voice in an audio file by removing background noise and music.
check_subscription	Checks the current subscription status and API usage metrics.
speech_to_speech	Transforms audio from one voice into another while preserving delivery.

Full ElevenLabs setup and config →

FAQ

Does ElevenLabs handle both speaking and transcription?: Yes. text_to_speech and voice_clone cover synthesis, while speech_to_text transcribes audio with optional speaker diarization. speech_to_speech and isolate_audio round out the audio handling, all from one server.
When would AssemblyAI fit better than ElevenLabs?: For heavy speech-to-text and audio-intelligence workloads, AssemblyAI is the specialist on that axis. ElevenLabs leads when you want synthesis, voice tooling, and transcription together in a single server.