Turn Khmer audio
into text you can trust.
Speak AI transcribes Khmer audio and video into accurate, speaker-labeled text, with translation and analysis built in. 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 Khmer recording. Leave with it transcribed.
A working session, not a sales pitch. No obligation.
You bring a real Khmer file
An interview, a meeting, a call, a lecture. Whatever your team currently transcribes or translates by hand.
We map your workflow
Speakers, terminology, export formats, and where the transcript needs to land. Your words, your setup, not a template.
You see it transcribed, live
Your own Khmer recording, transcribed and labeled on the spot, with a rollout plan for the whole team.
Khmer transcription for every kind of team.
The same engine, pointed at the Khmer audio and video your team actually works with.
Khmer fieldwork transcription
Oral histories, ASEAN studies, and Cambodia-focused fieldwork transcribed with speaker labels, ready for qualitative coding and analysis.
Khmer interview transcription
Consumer interviews and focus groups for teams entering the Cambodian market transcribed and coded, ready for reporting.
Khmer program & M&E interviews
Beneficiary interviews, community consultations, and monitoring and evaluation recordings transcribed for donor reporting and analysis.
Khmer meeting & call transcripts
Supplier calls, factory floor meetings, and business communications transcribed into records your team can search and share.
Khmer support call transcripts
Customer calls transcribed and searchable, so QA and coaching do not depend on a bilingual reviewer.
Khmer video & podcast transcripts
News segments, podcasts, and YouTube content transcribed with captions and subtitles ready to publish.
A different approach to Khmer transcription.
Khmer is the official language of Cambodia, spoken by more than 16 million people, with communities across Thailand, Vietnam, and the diaspora worldwide. Unlike Thai or Vietnamese, Khmer is non-tonal, meaning comes from context and word order rather than pitch, but it carries one of the longest alphabets still in use, 74 characters, plus stacked subscript consonants and centuries of Sanskrit and Pali loanwords inherited from the Khmer Empire and Angkor Wat. Turning Khmer speech into usable text has always meant either a bilingual transcriber working by hand, or software tuned for higher-resource languages that gets the words roughly right and drops everything else.
Where Khmer transcription usually breaks down
Most transcription tools are tuned for a handful of high-resource languages, and Khmer rarely gets the same attention. Speakers get misheard, technical or regional terms get flattened into nonsense, and tone, hesitation, or emphasis in the recording never make it into the transcript at all. Teams end up correcting entire passages by hand, which erases most of the time an automated tool was supposed to save.
Reading the recording, not just the words
Speak AI transcribes Khmer audio and video with speaker labels and timestamps, then reads the recording itself: who is speaking, when they switch between Khmer and English mid-sentence, and how the delivery changes across a long interview or hearing. Names, terms, and callback details are extracted into structured fields your team can search and query. Then you can ask across your entire Khmer archive with AI chat, using ChatGPT, Claude, and Gemini built directly into the workspace.
- Khmer audio and video, transcribed directly into Khmer script with speaker labels and translation into English or another language.
- Handles Sanskrit and Pali loanwords and stacked subscript consonants that generic transcription tools tend to flatten or drop.
- Captions and subtitles (SRT, VTT) generated straight from the timestamped transcript.
- Export to Word, PDF, TXT, CSV, or JSON, depending on how your team needs to use it.
From one file to a searchable archive
The result is a Khmer archive that behaves like a well-run English one. Interviews, hearings, and support calls become searchable text instead of a folder of audio files nobody has time to relisten to, and dashboards you can customize and white-label track themes and volume across your Khmer recordings over time. Interpreting.com put its multilingual assessment recordings through this kind of workflow, scaling embedded recorders across dozens of languages including Khmer, without hiring a reviewer for each one.
And because Khmer recordings rarely live in isolation from the rest of your work, the same engine scores calls and coaches teams on the same criteria, connecting Khmer transcription to call scoring and the wider 知识库 your team already runs on.
Engineered with you, accurate from day one.
A generic AI tool starts from zero on Khmer script, names, and Sanskrit-derived terms. We shape the fields, vocabulary, and prompts around your Khmer content specifically, then route each file to the right model, Claude, ChatGPT, or Gemini, and prime the application on your existing recordings so it is accurate from the first file. You get structured data back, not just a transcript.
- We design the context, fields, and scoring around your Khmer workflow, not a generic template.
- Your historical Khmer recordings and transcripts prime the 知识库 before go-live.
- Structured data on every Khmer file, queryable from Claude, ChatGPT, and Cursor through the MCP server.
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.
Different, not simply harder. Khmer is non-tonal, so meaning comes from context and word order rather than pitch, which removes one layer of difficulty that trips up Thai learners. What makes Khmer demanding is its script: 74 characters plus stacked subscript consonants that generic transcription tools routinely misread. Speak AI is tuned to read that script and the Sanskrit and Pali loanwords inside it, not just guess at the sounds.
“I love you” in Khmer is “ខ្ញុំស្រលាញ់អ្នក” (khnhom sralanh nak). It is the kind of phrase that shows up constantly in real recordings, family calls, customer messages, interview asides, and Speak AI transcribes it directly in Khmer script, with an English translation alongside it.
Roughly, yes. Khmer is commonly anglicized as “kmai” or “khmai,” close to how Cambodians say it themselves. The written language, Speak AI’s transcription target, differs from that phonetic spelling, which is part of why automated Khmer transcription needs script-aware handling rather than a sound-alike guess.
It has a reputation for being difficult, mostly because of the 74-character alphabet and its stacked consonant clusters, though the lack of tones makes pronunciation more forgiving than in Thai or Vietnamese. For teams that need Khmer content handled rather than personally learned, Speak AI transcribes, translates, and analyzes Khmer audio automatically, so the learning curve stops being a blocker to using the recordings.
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 Khmer audio to a transcript you can trust.
Book a free consult, bring a real Khmer recording, and watch it transcribed and labeled before the meeting ends. Consults include early access to new features, an extended trial, and implementation credits.
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