Comparison

AssemblyAI Alternative with Australian Data Residency

AssemblyAI is excellent. But if you're building for Australian clients, there's a problem.

The problem with US transcription APIs in Australia

AssemblyAI is a well-engineered transcription API. The accuracy is good, the documentation is thorough, and the feature set covers most use cases. If data residency wasn't a constraint, it would be a reasonable choice.

But AssemblyAI's infrastructure is in the United States. When you send audio to AssemblyAI, that audio crosses the border. If it contains personal information about Australian individuals (and most business audio recordings do), that triggers APP 8 of the Australian Privacy Act 1988 (Cth).

APP 8 is the cross-border disclosure principle. Before disclosing personal information to an overseas recipient, you must take reasonable steps to ensure the overseas recipient won't breach the Australian Privacy Principles. In practice, this means proper due diligence on the overseas provider's compliance posture, and potentially notifying the individuals involved. Most businesses don't do this. That makes every overseas transcription call a potential Privacy Act breach.

Australian Transcription processes all audio exclusively on AWS infrastructure in Sydney. Your data never leaves Australia, so APP 8 cross-border obligations are never triggered. For teams building products for Australian clients, that's the whole answer.

Side-by-side comparison

Feature	Australian Transcription	AssemblyAI
Data residency	Australia (AWS Sydney)	United States
APP 8 compliance	Obligation never triggered	Triggered by cross-border disclosure
Pricing	$0.02 AUD/min (incl. speaker diarization)	USD $0.0035/min base Speaker diarization extra
Speaker diarization	Included	Available (add-on cost)
Custom vocabulary	Via `prompt` parameter	Supported
Free tier	1 hour (60 min) free, no credit card	USD $50 credit (requires credit card to top up)

AssemblyAI pricing based on publicly listed rates (USD). Australian Transcription pricing in AUD. Rates last verified May 2026. Verify current rates at each provider before making purchasing decisions.

A note on pricing

AssemblyAI's base transcription rate is lower than Australian Transcription's, particularly when you account for the AUD/USD exchange rate. That's a real difference and worth acknowledging. Where it gets closer: AssemblyAI charges separately for speaker diarization and other features that are included in Australian Transcription's flat rate. For straightforward transcription without add-ons, AssemblyAI is cheaper. For teams that want all-in pricing with no per-feature billing, the gap narrows considerably.

For teams whose data residency requirements make a US-hosted service a non-option, pricing comparisons are somewhat academic. The question becomes: what is it worth to keep your data in Australia and not have to manage APP 8 obligations?

Switching from AssemblyAI

Both APIs follow the same async pattern: submit a file, receive a job ID, poll until complete, retrieve the result. The field names differ, but the flow is nearly identical. Here's a side-by-side comparison of the patterns:

AssemblyAI pattern

# Submit
import assemblyai as aai
aai.settings.api_key = "..."
transcriber = aai.Transcriber()
transcript = transcriber.transcribe(
    "https://example.com/audio.mp3"
)

# Result
print(transcript.text)

# Speaker diarization
config = aai.TranscriptionConfig(
    speaker_labels=True
)
transcript = transcriber.transcribe(
    "audio.mp3",
    config=config
)
for utt in transcript.utterances:
    print(f"{utt.speaker}: {utt.text}")

Australian Transcription pattern

# Submit
import requests, time
HEADERS = {"X-API-Key": "..."}
with open("audio.mp3", "rb") as f:
    r = requests.post(
        "https://api.icana.ai/api/v1/transcribe",
        headers=HEADERS,
        files={"file": f},
        data={"num_speakers": 2}
    )
job_id = r.json()["job_id"]

# Poll (max 60 attempts, ~5 min)
for attempt in range(60):
    r = requests.get(
        f"https://api.icana.ai/api/v1/jobs/{job_id}",
        headers=HEADERS
    )
    d = r.json()
    if d["status"] == "complete":
        print(d["transcription"])
        # Speaker diarization
        for seg in d["diarization"]:
            print(f"{seg['speaker']}: {seg['text']}")
        break
    elif d["status"] == "failed":
        raise RuntimeError(f"Job failed: {d.get('error')}")
    time.sleep(5)
else:
    raise TimeoutError(f"Job {job_id} did not complete within 5 minutes")

The main differences from AssemblyAI to Australian Transcription:

Authentication uses an X-API-Key header rather than an Authorization: Bearer header
File submission is multipart/form-data to /api/v1/transcribe
Speaker diarization is returned in a diarization array (no separate config flag needed)
Custom vocabulary uses the prompt field (comma-separated terms)

Most teams can complete the migration in an hour or two. The API surface is small and the patterns are close enough that existing polling logic, error handling, and retry code can be reused with minimal changes.

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