Turn Hindi audio
into captions you can trust.
Speak AI transcribes and captions Hindi audio and video automatically: accurate Hindi text, timed to the frame, and exported as SRT or VTT files ready to publish. We build it with you.
The wins teams ship.
Time to a live product, hours saved per file, and dollars saved. Same platform, very different applications.
Legal tech company builds a white-label deposition platform, 8 months faster.
Global research agency launches a white-label qualitative research platform.
Legal intelligence firm processes 5,100+ hours of carrier calls, 95% faster.
Healthcare consulting firm cut session processing from 8 hours to 0.3.
E-commerce manufacturer centralizes call review and cuts it by 85%.
Recruiting firm cuts candidate report time from 5 hours to 10 minutes.
Bring one Hindi file. Leave with it captioned.
A working session, not a sales pitch. No obligation.
You bring real Hindi audio or video
A YouTube video, an interview, a training session. Whatever your team captions by hand today.
We map your workflow
Export formats, glossary terms, speaker labels. Your words, your weights. Not a template.
You see it captioned, live
Your own Hindi file, transcribed and captioned, with a rollout plan for the whole team.
Hindi captions for every kind of content.
The same captioning engine, pointed at the Hindi files your team actually has.
Creator captions
Hindi YouTube videos, podcasts, and reels transcribed and exported as SRT or VTT, ready to publish.
Qualitative research
Hindi interviews and focus groups transcribed, captioned, and coded consistently across every session.
Training & e-learning
Hindi course videos and webinars captioned for accessibility and completion.
Broadcast & media
News clips, earnings calls, and long-form segments captioned in Hindi at scale.
Support & call centers
Hindi customer calls transcribed and captioned for QA, training, and compliance review.
Agencies & white label
Run Hindi captioning for your clients on a branded workspace, with exports and the API.
A different approach to Hindi captions.
Hindi captioning is the process of turning spoken Hindi, in a video, a podcast, an interview, or a meeting, into accurate on-screen text, timed to the frame and exported in the format your platform needs. Hindi is spoken by hundreds of millions of people across India, Nepal, and Hindi-speaking communities worldwide, which makes captioning it well a real advantage for reach, accessibility, and SEO, not just a checkbox.
Why Hindi caption creation breaks down
For most creators and teams, captioning Hindi content by hand is slow and easy to get wrong. Transcribing the audio takes as long as the recording itself. Devanagari script and mixed Hindi-English speech trip up generic tools. And captions get confused with subtitles: subtitles translate dialogue for a foreign audience, while captions describe everything happening in the audio, sound effects, speaker changes, and tone, for viewers watching in the original language.
How Speak AI reads Hindi audio
Speak AI treats a Hindi recording as more than a wall of text. Each file is transcribed in Hindi, with 100+ languages supported, and the recording itself is analyzed on three layers: the words, the tone and energy behind them, and the visual context of who is speaking and when. Names, timestamps, and speaker labels are extracted automatically, so what comes back is a captioned, structured file, not just a transcript.
What teams caption in Hindi
- Hindi YouTube videos, Vimeo uploads, and social reels
- Hindi interviews, focus groups, and research sessions
- Hindi earnings calls, meetings, and phone calls
- Hindi Zoom, Google Meet, and Microsoft Teams recordings
- Hindi podcasts and training or e-learning videos
From raw footage to published captions
The result is a Hindi captioning workflow that scales past one person checking a dial-in inbox. Files are captioned and exported as SRT or VTT in minutes, not hours, and dashboards you can customize and white-label track turnaround and accuracy over time, so this month’s output is measured against last month’s. An education platform working with Interpreting.com used this workflow to scale multilingual assessment, including Hindi, across embedded recorders in their product; read how they scaled multilingual assessment with embedded recorders.
And because Hindi files rarely live alone, the same engine scores calls, meetings, and interviews on your own criteria, and every transcript is queryable from Claude, ChatGPT, and Gemini through the MCP server, connecting Hindi captions to call scoring and coaching across every conversation your team has.
Engineered with you, accurate from day one.
A generic AI tool starts from zero. We shape the fields, export formats, and glossary terms around how your team handles Hindi captions, then prime the application on your existing files so it is useful from the first upload. You get structured captions back, not just a transcript.
- We design the context, fields, and scoring around your Hindi captioning workflow, not a template.
- Your historical Hindi files and transcripts prime the knowledge base before go-live.
- Structured captions on every file, queryable from Claude, ChatGPT, and Cursor through the MCP server.
One system of record for everything your team says.
In-person and virtual, in one place. No stitching together a meeting tool, a voice recorder, and three other apps. Speak AI captures it all into one searchable knowledge base your applications are built on.
One platform. Not one model.
A generic AI tool locks you to one model and one engine. Speak AI picks the right model, speech engine, and language for each task, file type, and team, so your applications are never locked to a single vendor.
Multi-model
Claude, ChatGPT, and Gemini. Your choice per task, or bring your own key.
Multi-engine
Transcription routed across multiple engines for your audio, accents, and terms.
100+ languages
Transcribe and translate in and out, for global and multilingual teams.
MCP, API & integrations
100+ MCP tools and an integrations layer that connects to hundreds of apps you already run.
Teams build on Speak AI.
Real feedback from teams using Speak AI for research, transcription, meetings, and client work.
Questions we get
Your first scorecard runs on a real recording during the consult. Team rollout takes days, not months, because we build it with you and prime it on your existing recordings.
Pooled usage, not per-seat, with no volume minimums. Pilots are credited in full. We scope pricing for your exact workflow on the call.
Speak AI handles 100+ languages, including conversations that switch language mid-sentence, and can translate in and out.
Yes. White-label deployments run on your own domain with your logo, including client platforms agencies resell, plus branded iOS and Android apps.
Hindi is a language. Hindu describes a follower of Hinduism, a religion. The two words are related historically but describe different things, and mixing them up in captions or metadata is a common accuracy mistake Speak AI is built to avoid.
Hindi is an Indo-Aryan language written in the Devanagari script, and one of the official languages of India, spoken by hundreds of millions of people. Speak AI transcribes and captions Hindi directly, along with 100+ other languages.
There is no single agreed-on list, difficulty depends on your native language and the script involved. Whatever language your recordings are in, Hindi or otherwise, Speak AI is built to transcribe and caption it accurately.
Both, depending on the region and the family. Hindi and Urdu are close to identical in everyday spoken form and differ mainly in script and vocabulary register. Speak AI captions both languages, so mixed Hindi-Urdu audio does not need to be split first.
Enterprise builds support BAAs, custom data processing agreements, SSO, and data residency options. We share security documentation on request and scope each build to your requirements.
From raw Hindi footage to published captions.
Book a free consult, bring a real Hindi file, and watch it transcribed and captioned before the meeting ends. Consults include early access to new features, an extended trial, and implementation credits.
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