Drop-in replacement for OpenAI’s audio transcription API. Sliced into 30-second stateless chunks, processed over idle RTX GPUs, and reassembled with microsecond accuracy.
See how much your organization saves by routing transcription requests through TNSOR V2.
Scale smoothly from hobby projects to high-concurrency enterprise pipelines.
Instant drop-in replacement for OpenAI Whisper. Pay only for exact seconds processed.
For video apps, call centers, and meeting transcription platforms processing at scale.
Custom infrastructure for enterprise media organizations and speech-to-text platforms.
Why fast-growing AI companies are standardizing on TNSOR V2.
| Capability | TNSOR V2 | OpenAI Whisper | Deepgram Nova-2 | AWS Transcribe |
|---|---|---|---|---|
| Per-Minute Transcription Rate | $0.0014 / min (₹0.12) | $0.0060 / min | $0.0043 / min | $0.0240 / min |
| Cost for 100,000 Minutes | $140 / mo (₹11,620) | $600 / mo | $430 / mo | $2,400 / mo |
| Drop-in OpenAI SDK Replacement | ||||
| Real-Time Streaming WebSocket (TTS/STT) | ||||
| Telephony & IVR Webhook Hooks (TwiML / Exotel) | ||||
| Sub-10s Dynamic Failover Watchdog | ||||
| Stateless 30s Media Slicing | ||||
| Zero Audio Retention (Ephemeral VRAM) | ||||
| Dual-Rail Settlement (Razorpay UPI + PayPal USD) | ||||
| Net-30 Corporate Invoicing & GST Tax Credit | ||||
| Word-Level Timestamp Alignment | ||||
| Multi-Language Support (99+ langs) |
Keep your existing OpenAI code and client libraries. Simply point the base URL to TNSOR V2.
from openai import OpenAI
# Simply change the base_url to TNSOR V2 to cut your audio AI bills by 77%
client = OpenAI(
base_url="https://tnsor-api.ksverse.in/v1",
api_key="tn_live_your_api_key_here"
)
transcript = client.audio.transcriptions.create(
model="whisper-1",
file=open("podcast_episode.mp3", "rb")
)
print(transcript.text)