Privocio

Privocio is your private, high-performance pipeline for Speech-to-Text and Text-to-Speech. Lower costs, improve accuracy, and keep your data yours.

[Privocio @Privocio]

Cut the cost of talking to your agents.

Build on private voice infrastructure instead of expensive APIs.

Privocio = Speech-to-Text + Text-to-Speech
→ lower costs
→ better accuracy
→ your data stays yours

[Privocio @Privocio]

Your audio never leaves your device. Privocio runs 100% locally. No cloud, no leaks, no fine print. Privacy isn't a feature. It's the foundation. #LocalAI

[Privocio @Privocio]

Most transcription APIs still default to 44.1kHz stereo. That is waste. Resample to 16kHz mono before uploading. 75% less bandwidth, same accuracy.

ffmpeg -i file.wav -ar 16000 -ac 1 out.wav

[Privocio @Privocio]

Signed an NDA but still sending audio to cloud APIs?

Which industries actually require on-prem transcription? Healthcare? Legal? Finance? Something else?

[Privocio @Privocio]

160 ms. That's the end-to-end latency from microphone to transcript on a standard laptop running local Whisper.

Cloud APIs? Usually 400-800 ms plus network round-trip.

Local isn't just private. It's faster.

[Privocio @Privocio]

"99% accuracy" is the most misleading metric in AI speech.

Benchmark it on noisy calls, accents, jargon. That number crumbles.

Real accuracy isn't a score. It's whether you trust the output enough to stop double-checking.

[Privocio @Privocio]

New: batch folder transcription. Drop a directory of audio files and get structured JSON back in minutes. No cloud upload. No rate limits. Your hardware, your data. #SpeechAPI

[Privocio @Privocio]

Running Whisper locally? Mono 16kHz audio cuts inference time by 30%. Use ffmpeg -ar 16000 -ac 1 before feeding it in. Most people upload stereo 48kHz and wonder why it is slow.

[Privocio @Privocio]

Per-minute STT billing vs flat-rate local inference. For 500 hours/month, the gap is $3K+. Anyone actually run the math on their own volume? What surprised you?

[Privocio @Privocio]

Per-minute STT pricing is printer ink economics. Process more audio, your bill scales linearly. That's not SaaS. That's a tax.

[Privocio @Privocio]

Local transcription finishes in 200ms.
Cloud APIs take 800-1200ms with TLS roundtrips.
Same model. Same accuracy. 4-6x slower and your audio leaves the building.
Keep it local.

[Privocio @Privocio]

Zero-config transcription that nails your industry jargon. No cloud. No data leaving your machine. Just accuracy that keeps up with your work.

[Privocio @Privocio]

Whisper's temperature param is the difference between accurate transcripts and AI hallucinations.

Set it to 0 for dictation. Bump to 0.7 for creative captions.

Most devs leave it at default and wonder why their STT invents words.

[Privocio @Privocio]

Most devs send 30-second audio chunks to STT APIs. Send 10-second chunks instead. Lower latency, cheaper bills, same accuracy.

[Privocio @Privocio]

How many third parties touch your audio before it hits the transcription API? Most teams have no idea. Local STT skips the whole chain. Is the setup friction worth it to you?

[Privocio @Privocio]

"99% transcription accuracy" is a lie.

Vendors test on clean studio audio. Real calls have accents, noise, and people talking over each other.

We benchmarked 12 APIs on actual sales calls. The best dropped to 73%. The worst? 41%.

Stop trusting headline numbers.

[Privocio @Privocio]

Cloud Whisper API: ~800ms roundtrip. Local inference: ~40ms. That's not 2x faster. That's 20x faster. And your audio never leaves your device. #privacy #localfirst

[Privocio @Privocio]

New: zero-config local transcription. Drop a folder of audio in, get text files out. No API keys, no surprise bills, no audio leaving your device. It just works. Local means simple.

[Privocio @Privocio]

Polling your transcription API every 2 seconds? You are burning tokens and latency. Webhooks ping you when the audio is done. No loops, no waste.

[Privocio @Privocio]

How many of you are using the same STT API for real-time AND batch? I keep seeing teams reach for real-time and then do post-processing separately. Why?

[Privocio @Privocio]

Whisper: 94% in a quiet lab. 73% in a real coffee shop.

Our local pipeline: 89% in the same coffee shop. No cloud. No API bill. No audio leaving your device.

The quiet room benchmark is a fantasy.