AI Solutions
Speech & audio AI
We build speech and audio AI into products and workflows: transcription, captions, translation, voiceover and audio search, including Indian languages and mixed-language speech such as Hinglish.
Speech to text
EN · HI · HinglishIs this for you?
You’ll get value from this if…
- Your team transcribes calls, meetings or videos by hand
- Video content needs captions, chapters or dubbing at scale
- Your users speak languages mainstream tools handle poorly
- You want voice input or voice output in your product
Benefits
What changes for your business
Hours of manual work removed
Transcripts and captions produced automatically.
Reach more languages
Serve users in the languages they actually speak.
Searchable audio
Find what was said in calls, meetings and videos.
What you get
What we deliver
Transcription pipeline
Accurate speech-to-text with speaker and timestamp detail.
Captions and chapters
Generated automatically from the transcript.
Voice and dubbing
Natural text-to-speech and voiceover in the languages you need.
Product integration
Built into your app, editor or back-office workflow.
How it works
From first call to running in production
- 01
Sample
Test models on your real audio, accents and languages.
- 02
Choose
Pick the models that perform best for your content and budget.
- 03
Build
Wire them into your product or workflow.
- 04
Tune
Improve accuracy on the terms and speakers that matter to you.
Example applications
What this looks like in practice
Typical applications of this service. Illustrative, not client case studies.
- 01Automatic captions and chapters for video
- 02Call and meeting transcription with summaries
- 03Voiceover and dubbing for training content
- 04Voice input for apps and forms
Shipped work
Where we've built this
- Backstage CutSpeech AIElevenLabs and Sarvam AI speech models transcribe English, Hindi and Hinglish, and that transcript drives the captions, zooms, B-roll and chapters.View project
- AudioBoloLocal AIA local Whisper model runs on the Mac itself, so speech is transcribed on-device — private by default and working without a connection.View project
Technology
Tools we work with
- ElevenLabs
- Sarvam AI
- Whisper
- FFmpeg
- Python
- TypeScript
Why Bitfumes
Built by engineers who ship
Senior team, no hand-offs
The engineers on your first call are the ones who build your product.
10+ years of engineering leadership
Led by Sarthak Shrivastava, Docker Captain, AWS Certified Solutions Architect, AWS Certified Developer.
We teach this for a living
156K+ developers learn from our founder on YouTube, and 100K+ on Udemy.
Production, not prototypes
Tests, monitoring and handover are part of every build, not extras.
How to start
From first conversation to production
- 1
Talk to us
Tell us the problem. We come back with a straight view on whether it is worth building.
Get in touch - 2
Build
A senior team embeds with yours and ships in short cycles, with a demo every week.
- 3
Run and improve
We hand over cleanly, or stay on to monitor, support and extend what we built.
FAQs
Common questions
Which languages do you support?
English and the major Indian languages, including mixed speech such as Hinglish, plus other languages depending on the model chosen.
Can it run offline?
Yes. Some speech models can run on the device itself, with no internet connection and no audio leaving the machine.
Which speech models do you use?
We have shipped products on ElevenLabs, Sarvam AI and on-device Whisper, and choose per project based on language, quality and cost.
How accurate is transcription?
It depends on audio quality, accents and vocabulary. We measure accuracy on your own recordings before recommending a model.
Can it handle mixed languages like Hinglish?
Yes. We have shipped transcription for English, Hindi and Hinglish speech.
Next step
Want this built into your business, not just explained?
Tell us the problem and we'll come back within one business day with a straight view on whether AI is worth it for you, and what it would take to build.
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