Turn Khmer audio
inn i 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.
Seieren lagene leverer.
Tid til et live-produkt, timer spart per fil og dollar spart. Samme plattform, veldig ulike anvendelser.
Juridisk teknologiselskap bygger en white-label deposisjonsplattform, 8 måneder raskere.
Globalt forskningsbyrå lanserer en white-label kvalitativ forskningsplattform.
Juridisk intelligensselskap behandler 5 100+ timer med operatørsamtaler, 95% raskere.
Helsekonsulentfirma reduserte øktsbehandling fra 8 timer til 0,3.
E-handelsproducent sentraliserer anmeldelse av samtaler og reduserer med 85%.
Rekrutteringsfirma reduserer rapporttid for kandidater fra 5 timer til 10 minutter.
Bring one Khmer recording. Leave with it transcribed.
En arbeidssesjon, ikke en salgspitch. Ingen forpliktelse.
You bring a real Khmer file
Et intervju, et møte, en samtale, en forelesning. Uansett hva teamet ditt transkribert eller oversetter manuelt for øyeblikket.
Vi kartlegger arbeidsflyten din
Talere, terminologi, eksportformater og hvor transkripsjonene skal sendes. Dine ord, ditt oppsett, ikke en mal.
Du ser det transkribert, direkte
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
Kundesamtaler transkribert og søkbar, slik at QA og coaching ikke er avhengig av en tospråklig gjennomganger.
Khmer video & podcast transcripts
Nyhetssegjmenter, podcaster og YouTube-innhold transkribert med undertekster og undertekster klare til publisering.
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.
Leser opptagelsen, ikke bare ordene
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.
- Undertekster og deling (SRT, VTT) generert direkte fra det tidsstemplede transkripsjonene.
- Eksporter til Word, PDF, TXT, CSV eller JSON, avhengig av hvordan teamet ditt trenger å bruke det.
Fra én fil til et søkbart arkiv
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 instrumentbord du kan tilpasse og 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 samtalevurdering and the wider kunnskapsbase ditt team allerede kjører på.
Konstruert med deg, nøyaktig fra dag én.
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.
- Vi designer konteksten, feltene, og scoring around your Khmer workflow, not a generic template.
- Your historical Khmer recordings and transcripts prime the kunnskapsbase før go-live.
- Structured data on every Khmer file, queryable from Claude, ChatGPT, and Cursor through the MCP server.
Bring applikasjonene dine til Claude, ChatGPT og Cursor.
Ingen terminal. Ingen npm. Ingen konfigurering. Speak AI’s MCP-server gir enhver assistent 100+ verktøy for å søke i, analysere og handle på kunnskapsbasen din på cirka 60 sekunder. Det er det samme laget applikasjonene dine kjører på, koblet til hundrevis av apper i stacken din gjennom et integrasjonslag og et fullstendig API for utviklere.
Ét system for alt som teamet ditt sier.
Personlig og virtuelt, på ett sted. Ingen behov for å sy sammen et møteverktøy, en stemmeopptaker og tre andre apper. Speak AI fanger alt inn i én søkbar kunnskapsbasis som applikasjonene dine er bygget på.
Team bygger på Speak AI.
Ekte tilbakemelding fra team som bruker Speak AI for forskning, transkribering, møter og klientarbeid.
Spørsmål vi får
Ditt første resultatkort kjører på en ekte opptak under konsultasjonen. Teamutruling tar dager, ikke måneder, fordi vi bygger det med deg og primer det på dine eksisterende opptak.
Samlet bruk, ikke per-setning, uten volumminimum. Piloter kreditteres fullt ut. Vi tilpasser prising for ditt nøyaktige arbeidsflyt under samtalen.
Speak AI håndterer 100+ språk, inkludert samtaler som bytter språk midt i setningen, og kan oversette inn og ut.
Ja. White-label-utplasseringer kjører på ditt eget domene med din logo, inkludert klientplattformer som byråer selger videre, pluss merkevarebundne iOS- og Android-apper.
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 inkluderer BAA-støtte, egendefinerte databehandlingsavtaler, SSO og dataoppholdsalternativer. Vi deler sikkerhetsdokumentasjon på forespørsel og tilpasser hver build til dine krav.
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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