The most accurate speech API for developers
Avalon is the drop-in API tuned for how developers talk. Change two lines to upgrade from Whisper and get 97.3% accuracy on AISpeak—no hallucinated model names, no misheard commands, no rewrite of your stack.
OpenAI-compatible endpoints for streaming and batch transcription
Free until October 15th, 2025 — then $0.39 per hour of audio
AISPEAK
97%
Accuracy
Avalon nails AI jargon, CLI commands, and model names. Whisper Large v3 hits 65.1%.
OPENASR
7/8
Splits won
Leads Whisper Large v3 and ElevenLabs Scribe across public benchmarks developers trust.
DROP-IN
2-line
Swap
Swap your base URL and model name. Keep your auth headers, streaming logic, and tooling.
Why Avalon
People don't speak like an audiobook when they're prompting Claude Code or narrating a deploy. Most training data does. Avalon was trained on real developer workflows—pairing transcripts with CLI sessions and IDE captures—so it keeps the exact command, casing, and model number you said.
Benchmarking alone misses the point. We built Avalon after watching other models fumble obvious technical nouns—turning "zshrc" into "C sharp C" or hallucinating entirely new model names. Avalon stays literal, so your copilots, support analytics, and live demos sound like your users actually talk.
Stop hallucinations on AI terms
AISpeak is our benchmark of real-world clips where people say things like "Claude Code," "GPT-4o-mini," and "o3." Avalon transcribes the key term correctly 97.3% of the time. Whisper Large v3 misses it in more than one out of three attempts.
Accuracy on Coding and AI Terms
Higher is better
AISpeak-10
97.4%
Avalon
Top score
ElevenLabs Scribe
78.8%
Whisper Large v3
65.1%
Voxtral Mini 3B
59.5%
NVIDIA Canary 1B
51.5%
AISpeak-50
97.5%
Avalon
Top score
ElevenLabs Scribe
86.7%
Whisper Large v3
82.4%
Voxtral Mini 3B
79.4%
NVIDIA Canary 1B
71.8%
AISpeak-500
95.8%
Avalon
Top score
ElevenLabs Scribe
87.5%
Whisper Large v3
84.9%
Voxtral Mini 3B
82.9%
NVIDIA Canary 1B
74.1%
Whisper hallucinates. Avalon doesn't.
Avalon
I've
tried
running
this
with
GPT-4o,
GPT-4.1,
and
o3.
Whisper
I've
tried
running
this
with
GPT-4.0,
GPT-4.1,
and
GPT-03.
Avalon
Claude 4
announcement.
Whisper
Claude for
announcement.
Parakeet
cloud floor
announcement.
Avalon
I
just
tried
running
this
with
GPT-4o
and it didn't go very well.
Whisper
I just tried running this with
GPT-400,
and it didn't go very well.
Avalon
Ultrathink.
Whisper
Ultrathing.
Clips pulled from AISpeak evaluations
Proven on industry benchmarks
Avalon leads Whisper Large v3, ElevenLabs Scribe, and AssemblyAI across OpenASR. The same accuracy shows up in production: teams building copilots, onboarding agents, and support analytics already rely on Avalon to keep transcripts literal.
Lower is better. Avalon wins the majority of public datasets developers reference when validating speech models.
Beats Whisper Large v3 on 7 of 8 OpenASR splits developers cite most often.
Tops ElevenLabs Scribe and AssemblyAI on the same public benchmarks.
Change two lines, keep your workflow
Avalon mirrors OpenAI's Whisper API — same request format, same response shape. Point your existing integration at the Avalon endpoint and keep shipping.
Python
Node.js
cURL
from openai import OpenAIclient = OpenAI( api_key="your-avalon-api-key", base_url="https://api.aquavoice.com/api/v1")audio_file = open("speech.mp3", "rb")transcript = client.audio.transcriptions.create( model="avalon-v1.5", file=audio_file)print(transcript.text)
SDKs for Node, Python, and cURL with streaming built in.
Simple pricing
Avalon API
$0.39
/ hour of audio
Everything unlocked. No minimums.
Billed per second
No overages, no enterprise gatekeeping
Includes speaker labels and timestamps
Start building with Avalon
Spin up your Avalon API key and launch features where transcripts stay literal—in demos, copilots, and support workflows.