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 | 90 minutes free, no credit card | USD $50 credit, no credit card required |
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:
# 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}")# 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-Keyheader rather than anAuthorization: Bearerheader - File submission is multipart/form-data to
/api/v1/transcribe - Speaker diarization is returned in a
diarizationarray (no separate config flag needed) - Custom vocabulary uses the
promptfield (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.
When AssemblyAI is the better choice
We would rather you pick the right tool than pick us. There are several situations where AssemblyAI is straightforwardly the better option, and pretending otherwise would waste your time and ours.
You need real-time streaming. We are asynchronous only. You submit a file and poll for the result. If you are building live captioning, a voice agent, a phone-based assistant, or anything where a human is waiting on the transcript as the audio is still arriving, AssemblyAI has a mature streaming product and we do not compete with it.
You need the speech-understanding layer. AssemblyAI ships summarisation, topic detection, sentiment, content moderation, entity detection, and an LLM layer over the transcript. We do one thing: accurate, speaker-labelled transcripts with tone analysis as an option. If your product depends on the wider analysis stack, building it yourself on top of our transcripts is real work.
Your audio is not about Australians. APP 8 is triggered by disclosing personal information about individuals to an overseas recipient. If you are transcribing public-domain material, synthetic audio, or content with no personal information in it, the residency argument mostly evaporates and you should choose on price and features.
You are already integrated and unblocked. If you have a working AssemblyAI integration, your legal team has signed off on the cross-border disclosure, and your customers are comfortable, there is no urgent reason to move. Migration is cheap but it is not free.
What the residency difference actually costs you
The reason data residency dominates this comparison for Australian teams is that it is the one difference you cannot engineer around. You can build summarisation on top of a transcript. You can add a queue to smooth out throughput. You cannot make audio that was processed in Virginia have been processed in Sydney.
In practice the cost of overseas processing shows up in three places. The first is procurement: government, health, and financial services tenders increasingly ask where data is processed, and an overseas answer either disqualifies you or triggers a longer assessment. The second is your privacy policy and collection notices, which need to disclose the countries where personal information is likely to go. The third is incident response — if your provider has a breach, you are the one notifying under the Notifiable Data Breaches scheme, and "our vendor is in the US" is a materially harder conversation with the OAIC and with your customers.
None of that makes AssemblyAI a bad product. It makes overseas processing a decision with ongoing administrative weight, rather than a one-off technical choice.
How to run a fair evaluation
Published accuracy figures are close to useless for deciding between transcription APIs, because they are measured on benchmark datasets that sound nothing like your audio. Run your own test instead. It takes about an hour.
Pick five to ten recordings that represent your real workload — including the bad ones. A quiet studio interview tells you nothing; a three-person meeting over a poor connection with crosstalk and an air conditioner running tells you everything. Include the accents you actually deal with and the jargon your industry uses.
Submit the same files to both services with equivalent settings, then compare on the things that will cost you time: how many proper nouns and technical terms came through correctly, whether the speaker labels stayed stable across the recording, and how much editing each transcript needs before it is usable. Word error rate on its own hides the errors that matter, because a missed clinical term and a missed "um" count the same.
Then price the result against your real monthly volume in AUD, including any per-feature charges. That number, on your audio, is the only comparison worth making.
Frequently asked questions
Is AssemblyAI available in an Australian region?
No. AssemblyAI processes audio on United States infrastructure and does not publish an Australian processing region. Audio you submit leaves Australia. That is the single structural difference driving this comparison, and it is not something a contract term or a data processing agreement removes — the processing genuinely happens overseas.
Does using AssemblyAI actually breach the Privacy Act?
Not by itself. APP 8 does not prohibit cross-border disclosure; it makes you accountable for it. Before disclosing personal information to an overseas recipient you must take reasonable steps to ensure they handle it consistently with the Australian Privacy Principles, and in most cases you remain liable for their breaches as if they were your own. Plenty of Australian organisations use US APIs lawfully. The problem is that most of them have not done the assessment, notified individuals, or updated their privacy policy — and that is where the exposure sits.
Is AssemblyAI cheaper than Australian Transcription?
On the base transcription rate, yes. AssemblyAI's list price is lower, even after currency conversion. The gap narrows once you add speaker diarization and other per-feature charges, which are included in our flat $0.02 AUD per minute. If you only need plain transcription with no add-ons and residency is not a constraint, AssemblyAI will cost you less. We would rather say that plainly than pretend otherwise.
How hard is it to migrate from AssemblyAI?
Both APIs use the same asynchronous pattern: submit a file, receive a job ID, poll until the job completes, then retrieve the transcript. The field names differ and we use an X-API-Key header rather than an Authorization header, but the control flow is unchanged. Most teams port a working integration in an afternoon. The migration section above shows both patterns side by side.
Does Australian Transcription support real-time streaming?
No. We are asynchronous only — you submit a file and poll for the result. If you need live captions, real-time voice agents, or sub-second latency, AssemblyAI is genuinely the better tool and you should use it. Our service is built for recorded audio: interviews, meetings, podcasts, clinical dictation, and archives.
Can I trial both before deciding?
Yes, and you should. Accuracy claims are only meaningful on your own audio, with your own accents, terminology, and recording conditions. New accounts get 90 minutes of transcription free with no credit card required, which is enough to run a real side-by-side on a representative sample of your files.
Try it free before committing
Sign up and get 90 minutes of free transcription. No credit card required. Test it on your own recordings before deciding.