Speech Recognition & Audio AI
Turn raw audio into meaningful data.
Speech-to-text, transcription, speaker diarization, voice analytics and multilingual audio processing, engineered for accuracy in real-world, noisy conditions.
About this service
Most of an organisation's spoken knowledge never becomes usable data.
We build audio intelligence pipelines using Whisper and best-in-class ASR models, with layered analytics, sentiment, topics, entities, summaries, compliance flags, and deployment options from managed cloud APIs to fully self-hosted deployment for sensitive audio.
What we deliver
Speech-to-text (ASR)
High-accuracy transcription of calls, meetings and media, with punctuation, formatting and domain-specific vocabulary.
Speaker diarization
Automatically separate and label who spoke when, even in overlapping, multi-party conversations.
Voice analytics
Sentiment, intent, topics, keywords, and talk-time analysis.
Multilingual processing
Transcription and translation across dozens of languages, including code-switched speech.
Real-time streaming
Live captions and low-latency transcription for voice agents and contact centres.
Redaction & compliance
Automatic PII/PHI detection and redaction to keep sensitive audio inside your compliance boundary.
Technology we use
The stack behind this service
- OpenAI Whisper
- WhisperX
- faster-whisper
- AssemblyAI
- Deepgram
- ElevenLabs Scribe
- pyannote
- NVIDIA Parakeet / NeMo
- Amazon Transcribe
- Azure Speech
- Python
- FastAPI
Our approach & delivery process
Audio audit
Benchmarking candidate models on your own audio, accents, noise, jargon.
Pipeline design
Designing ingestion, chunking, diarization, and post-processing for throughput and latency targets.
Build & tune
Integrating the pipeline, adding custom vocabulary and analytics, and validating accuracy against ground truth.
Deploy & monitor
Shipping to cloud or on-prem, with monitoring for accuracy drift and cost per hour of audio.
What clients say about working with us
One more client quote appears above, in Trust & credibility. Here's the rest.
General client testimonials, shown as the client wrote them, not written specifically about this service.
MagikCoder found and fixed security gaps our previous vendor missed entirely. The weekly reports made the whole engagement easy to manage from our side.
“We hired them through Upwork expecting a freelancer and got an entire senior team. On-time delivery, no scope creep, no drama.”
Shachar AmarCEO, Apolloecom · Hired via Upwork
Trust & credibility
- Years of experience
- 8+
- Projects delivered
- 295+
- Average client rating
- 4.9/5*
- Countries served
- 12+*
Security, certifications & partnerships
- ISO 27001-audited information security practices.
- Role-based access and permission-aware handling of client data.
- No client data is used to train third-party models.
- Developing Apps for ShopifyShopify · Credly verified
- Liquid Storefronts for Theme DevelopersShopify · Credly verified
- Google CloudPartner Network
- ClutchTop B2B Firm 2026
- GoodFirmsTop Developer
- ISO 27001Certified
Team & support
7+ yrs*Average hands-on engineering experience per developer
- Ongoing support, bug fixes, performance monitoring, and feature updates after launch.
- Typical first response within 24 hours on active engagements.*
* Illustrative placeholder, shown here as a sample until confirmed with real company data.
Proof in practice
Independently reviewed on Clutch and GoodFirms by past clients, and in their own words:
“They rebuilt our checkout in three weeks and conversion jumped almost immediately. Communication was tighter than any agency we'd used before.”
Frequently asked questions
Can we keep audio on our own infrastructure?
Yes. Whisper and several ASR models can be self-hosted on your GPUs, so audio never leaves your environment.
How accurate is it on our specific audio?
We benchmark on your real recordings and improve results with custom vocabulary, domain tuning and LLM post-correction.
Do you support real-time transcription?
Yes, for streaming use cases like live captions and voice agents, using low-latency models.
Get speech and audio AI that holds up in production.
Tell us about the audio you're sitting on, calls, meetings, media, and we'll scope a pipeline built for your accuracy bar.