Turn Bengali audio
içine text you can trust.
Speak AI transcribes Bengali audio and video into accurate, searchable text, then layers in translation, sentiment, and themes so research, media, and business teams can act on what was said. 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 Bengali recording. Leave with it transcribed.
A working session, not a sales pitch. No obligation.
You bring a real Bengali file
An interview, a focus group, a customer call, a video. Whatever your team transcribes or reviews by hand today.
We map your glossary
Product names, regional terms, and the mix of Bengali and English your speakers actually use. Your words, not a generic dictionary.
You see it transcribed, live
Your own Bengali recording, transcribed and translated on the call, with a rollout plan for the whole team.
Bengali transcription for every kind of team.
The same engine, pointed at the Bengali audio and video your team actually has.
Linguistic & oral history research
Interviews, oral histories, and focus groups in Bengali transcribed and coded, so researchers spend their time on analysis instead of playback.
South Asia market research
Bengali focus groups and interviews transcribed and translated, surfacing patterns and preferences across Bangladesh and West Bengal without a manual pass.
Bengali call centers & support
Support and intake calls in Bengali transcribed, translated, and scored, so QA covers every call instead of a small manual sample.
Bengali media & journalism
Recorded interviews and field audio turned into searchable Bengali and English transcripts, ready for captions, articles, and archives.
Sales & business expansion
Sales calls and client conversations in Bengali transcribed and analyzed, so teams entering Bangladesh and West Bengal coach on real evidence.
Content creators & localization
Bengali video and audio content transcribed and translated for captions, subtitles, and repurposed written content across markets.
A different approach to Bengali transcription.
Bengali transcription is the process of turning spoken Bengali, or Bangla, into accurate written text using speech recognition and natural language processing, then adding the analysis layer that makes the words useful: translation, sentiment, and recurring themes. With over 230 million speakers across Bangladesh and the Indian states of West Bengal, Tripura, and Assam, researchers, media teams, and businesses have relied on Bengali transcription for years to document interviews, analyze customer feedback, and localize content for one of the world’s most spoken languages.
Why Bengali transcription breaks down
Most teams still transcribe Bengali by hand, or lean on a generic AI tool built for a handful of major languages. Regional variation slows both down: the Bengali spoken in Dhaka is not the Bengali spoken in Kolkata, and Sylheti and other dialects shift the vocabulary again. A transcriptionist who does not work in Bengali daily loses hours to playback and rework, and a generic AI tool built primarily for English drops accuracy the moment an accent, a mixed English-Bengali sentence, or a regional term shows up.
Reading Bengali the way a fluent listener would
Speak AI transcribes Bengali audio and video directly, with 100+ languages supported, and layers in the same analysis a bilingual analyst would add by hand: translation into English, sentiment and tone, and the themes that repeat across a set of interviews or calls. The words, the voice tone and energy behind them, and any on-screen visuals in video are read together, so a frustrated caller or an enthusiastic focus-group participant shows up in the data the way they actually sounded, not just in the words they used.
What teams ask their Bengali recordings
- “What do Bengali-speaking customers say about our product, and where do reviewers disagree?”
- “Which interviews or focus groups this month mention pricing, and what did participants actually say?”
- “Show me every Bengali call that mentions a competitor by name.”
- “Which callers or interviewees sound frustrated, and which follow-ups have we missed?”
- “Summarize the recurring themes across all our Bengali interviews this quarter.”
From a stack of recordings to a searchable archive
The result is a Bengali archive that answers back. Ask across your entire library with AI chat, running natively over your recordings with ChatGPT, Claude, and Gemini built in, and dashboards you can customize and white-label track sentiment and themes over time, so this quarter’s interviews are measured against last quarter’s. Interpreting.com used a version of this workflow to scale multilingual assessment across embedded recorders, and you can read how they did it. And because a Bengali recording rarely lives alone, the same engine scores calls and meetings on the same criteria, connecting Bengali transcripts to call scoring and made searchable through the MCP sunucusu from Claude, ChatGPT, or Cursor.
Engineered with you, accurate from day one.
A generic AI tool starts from zero on Bengali audio. We shape the fields, glossary, and prompts around your Bengali content: regional terms, product names, mixed-language sentences. Then we prime the application on your existing Bengali recordings so it is useful from the first file. You get structured, translated data back, not just a transcript.
- We design the context, glossary, and scoring around your Bengali workflow, not a template.
- Your historical Bengali recordings and transcripts prime the bilgi tabanı before go-live.
- Structured, translated data on every Bengali file, queryable from Claude, ChatGPT, and Cursor through the MCP sunucusu.
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.
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.
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.
Both. Bengali is the primary language of Bangladesh and is also spoken across the Indian states of West Bengal, Tripura, and parts of Assam. Around 230 million people speak it as a first language, split across the two countries, plus large diaspora communities elsewhere. Speak AI transcribes Bengali audio and video from either region, including regional accents.
Bengali is the official language of Bangladesh and one of the official languages of India, where it is the primary language of West Bengal. It is also spoken in parts of Tripura, Assam, and by Bengali-speaking communities worldwide.
Bengali refers to the language and the ethnic and cultural group. Bangladeshi refers to nationality, someone who is a citizen of Bangladesh. Not every Bengali speaker is Bangladeshi, since millions of Bengali speakers are Indian citizens in West Bengal and neighboring states.
Bengali and Hindi are both Indo-Aryan languages and share some vocabulary and grammar structure, but they use different scripts. Bengali uses the Bengali (Bangla) script, and pronunciation and much of the vocabulary differ enough that fluency in one does not carry over to the other. Speak AI transcribes each language separately and accurately, rather than assuming they overlap.
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 a stack of Bengali recordings to a searchable archive.
Book a free consult, bring a real Bengali recording, and watch it transcribed, translated, and made searchable before the meeting ends. Consults include early access to new features, an extended trial, and implementation credits.
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