Indian English captions on Speak AI

Turn Indian English
en captions you can trust.

Speak AI transcribes Indian English audio and video automatically, then exports clean SRT and VTT captions ready to publish, with 100+ languages supported alongside it. We build it with you.

★★★★★★ 4,9 a G2 Més de 250.000 equips Des del 2018
yourteam.speakai.co
00:13 / 07:08
PN
Priya N. 00:22
This training webinar needs Indian English captions before we publish it to the LMS Friday.
PN
Priya N. 00:58
Keep the speaker labels and the Hindi terms as spoken, don’t translate them out.
Runs on the models and connects to the tools you already use
Claude XatGPT Gemini Zoom Equips Meet Slack Zapier and hundreds more
95%+
Precisió de la transcripció
100+
Idiomes compatibles
100+
MCP tools for your AI
6
Ways to capture
Proof

The wins teams ship.

Time to a live product, hours saved per file, and dollars saved. Same platform, very different applications.

$100K+
saved · 8 months faster

Legal tech company builds a white-label deposition platform, 8 months faster.

Legal · White-label platform
$100K+
saved · 983 hours

Global research agency launches a white-label qualitative research platform.

Research · White-label platform
$700K+
saved · 5,100+ hours

Legal intelligence firm processes 5,100+ hours of carrier calls, 95% faster.

Legal · Intelligence at scale
$190K+
saved · 10,000+ hours

Healthcare consulting firm cut session processing from 8 hours to 0.3.

Healthcare · Consulting
$185K+
saved · 3,700+ hours

E-commerce manufacturer centralizes call review and cuts it by 85%.

E-Commerce · Manufacturing
96%
faster · 1,100+ hours

Recruiting firm cuts candidate report time from 5 hours to 10 minutes.

Recruiting · Reporting
The free consult

Bring an Indian English file. Leave with it captioned.

A working session, not a sales pitch. No obligation.

Step 1

You bring a real Indian English file

A webinar, a support call, a training video, a podcast episode. Whatever your team captions by hand today.

Step 2

We map your caption style

Speaker labels, terminology, code-switching rules. Your house style, your weights. Not a template.

Step 3

You see it captioned, live

Your own Indian English recording, transcribed and captioned, with a rollout plan for the whole library.

One engine, every team

Indian English captions for every kind of content.

The same transcription engine, pointed at the Indian English recordings your team actually has.

Media & broadcasting

OTT & streaming captioning

Indian streaming platforms and broadcast content captioned in Indian English, ready for accessibility compliance and global distribution.

Education & e-learning

Course & lecture captions

Lecture recordings and online courses captioned so learners can read along, in Indian classrooms and MOOCs alike.

Suport al client

BPO & call center QA

Support calls and training recordings captioned and searchable, so quality teams review by text instead of replaying audio.

Corporate training

L&D & onboarding videos

Internal training and onboarding videos captioned for accessibility and searchability across a growing library.

Marketing & creators

YouTube & social captions

Upload a YouTube URL or audio file and get Indian English captions ready to publish the same day.

Recerca

Market research & interviews

Consumer interviews and focus groups captioned and coded consistently across a full study.

A different approach to Indian English captions.

Indian English captions turn the words spoken in Indian-accented English audio or video into text a viewer can read, search, or reuse, whether they are following along without sound or scanning for one moment in an hour-long recording. Captions differ from subtitles, which exist mainly to translate speech into another language; captions stay in the same language and add context. English is the official language of India’s Union Government and one of the most widely used languages for business, education, and media across the country, and Indian English carries its own rhythm, vocabulary, and code-switching with Hindi and regional languages that a plain transcript often gets wrong.

Why generic captioning tools misfire on Indian English

Most captioning tools are trained mainly on American and British speech patterns. Point them at an Indian English call, lecture, or webinar and the errors pile up: names get mangled, Hindi and regional-language terms dropped mid-sentence get skipped or garbled, and the pacing and stress patterns that carry meaning in Indian English get flattened into a wall of text nobody trusts enough to publish without a manual pass.

How Speak AI reads Indian English

Speak AI transcribes Indian English directly, then reads three layers at once: the words themselves, the tone and energy of the speaker’s voice, and the code-switching between English and Hindi or a regional language that a plain transcript misses. Each caption lands as a searchable, timed segment, editable line by line, with 100+ languages supported alongside English (Indian) for teams that caption across markets.

What teams caption in Indian English

  • Caption Indian English training webinars and LMS courses.
  • Caption Indian English support calls and BPO quality reviews.
  • Caption Indian English YouTube videos, podcasts, and social clips.
  • Caption Indian English earnings calls, focus groups, and market research interviews.
  • Caption Indian English Zoom, Google Meet, and Microsoft Teams recordings.

What accurate Indian English captions are worth

Accurate Indian English captions do more than tick an accessibility box. They make training libraries, support calls, and research interviews searchable, they help content rank in a variant of English that search engines still under-serve compared to US or UK English, and they let a captioned library get queried instead of replayed one file at a time. Once a semester of courses or a quarter of support calls is captioned, trend-over-time dashboards you can customize and white-label turn a folder of files into a report. An education technology company scaling multilingual assessment ran a similar captioning and structured-extraction workflow across its recordings, documented in the Interpreting.com multilingual case study. And because Indian English captions rarely stand alone, the same knowledge base is queryable from Claude, ChatGPT, and Gemini through the MCP server, so a training or support team can ask across a full caption library instead of searching one file at a time.

Your fields, auto-extracted
Primary painManual caption review
Switching trigger4 hrs / course
SentimentPositiu
Precisió95%
Caption turnaround across 42 Indian English files
Engineered with you

Engineered with you, accurate from day one.

A generic AI tool starts from zero on Indian English. We shape the vocabulary, speaker labels, and code-switching rules around your content, whether that is training webinars, support calls, or a course library, then prime the application on your existing recordings so it is useful from the first file. You get caption-ready segments back, not just a wall of text.

  • We design the context, fields, and scoring around your Indian English workflow, not a template.
  • Your historical Indian English recordings and transcripts prime the base de coneixement before go-live.
  • Structured data on every Indian English caption file, queryable from Claude, ChatGPT, and Cursor through the MCP server.
MCP, API & integrations

Bring your applications into Claude, ChatGPT, and Cursor.

No terminal. No npm. No config. Speak AI's MCP server gives any assistant 100+ tools to search, analyze, and act on your knowledge base in about 60 seconds. It is the same layer your applications run on, wired into the hundreds of apps in your stack through an integrations layer and a full developer API.

100+
Tools across 10 categories
7+
AI assistants supported
60s
Setup, one URL
Claude
Ask across every recording, transcript, and field from inside Claude.
XatGPT
Bring transcripts, themes, and structured data into ChatGPT.
Cursor
Pull conversation data straight into your dev environment.
MCP Server
100+ tools, one endpoint. Works with 7+ assistants and counting.
Your data lives in your Speak AI workspace, and you control what each assistant can access.
Built to stay flexible

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.

Models

Multi-model

Claude, ChatGPT, and Gemini. Your choice per task, or bring your own key.

Speech

Multi-engine

Transcription routed across multiple engines for your audio, accents, and terms.

Llengua

Més de 100 idiomes

Transcribe and translate in and out, for global and multilingual teams.

Integracions

MCP, API & integrations

100+ MCP tools and an integrations layer that connects to hundreds of apps you already run.

★★★★★★  4,9 a G2

Teams build on Speak AI.

Real feedback from teams using Speak AI for research, transcription, meetings, and client work.

"Vam passar de setmanes d'anàlisi qualitativa a un dia. Fàcil d'utilitzar, fàcil d'implementar, i el suport ha estat increïble."
C
Connor H.
Data & Impact Analyst
★★★★★★ Verified G2 review
Alta precisió, suport multilingüe i análisi perspicaç. Les integracions amb Google i Zapier fan que sigui fàcil simplificar-ho tot.
V
Volker B.
Director d'Operacions, Petita Empresa
★★★★★★ Verified G2 review
Utilitzo Speak AI en francès i anglès per a reunions de fins a dues hores. Estalvia temps i augmenta la precisió dels meus informes."
F
Francesc L.
Assessor Financer
★★★★★★ Verified G2 review
"I used to spend 45 minutes transcribing notes. Now it is done in segons, and I am writing in minutes."
T
Ted H.
Propietari, Petita Empresa
★★★★★★ Verified G2 review
"Simple to use for meetings. Makes it easy to take minutes and turn them into a clean, shareable report."
N
Naison S.
Project Manager
★★★★★★ Verified G2 review
"It is easy to use, and I can actually get in contact with the team behind the product. Valuable to speak to a humà real."
M
Marc B.
Medical Director
★★★★★★ Verified G2 review

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.

Captions carry a written version of the spoken Indian English and stay in the same language, adding context like sounds when needed. Subtitles exist mainly to translate speech into another language. Speak AI generates both from the same transcript.

Yes. Speak AI transcribes Indian English audio and video directly, reading the words, tone, and code-switching with Hindi or a regional language that generic tools trained mainly on American and British speech often miss.

Yes. Both formats export directly from the editor, along with a shareable interactive media player that carries the transcript, captions, and AI insights together.

Yes. Indian English recordings often switch between English and Hindi or a regional language mid-sentence. Speak AI transcribes what is actually said instead of skipping or flattening the parts a plain English-only model would miss.

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 an Indian English recording to published captions.

Book a free consult, bring a real Indian English audio or video file, and watch it transcribed, captioned, and exported before the meeting ends. Consults include early access to new features, an extended trial, and implementation credits.

No obligation. · Prefer to explore on your own? Prova Parla gratis