Turn Amharic audio
inn i text you can trust.
Speak AI converts Amharic audio and video into an accurate, searchable text file, starting with a trial that includes credits for Amharic transcription, no software to install. 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 file. Leave with it transcribed.
En arbeidssesjon, ikke en salgspitch. Ingen forpliktelse.
You bring a real Amharic file
An interview, a meeting, a podcast episode, a community recording. Whatever your team currently transcribes by hand or sends out for translation.
Vi kartlegger arbeidsflyten din
Feltene du allerede sporer, termene teamet ditt bruker, outputene du trenger. Dine ord, din struktur. Ikke en mal.
Du ser det transkribert, direkte
Your own Amharic audio, transcribed and made searchable, with a rollout plan for the whole team.
Amharic transcription for every kind of team.
The same transcription engine, pointed at the Amharic audio and video your team already has.
Amharic research transcripts
Oral history interviews, fieldwork recordings, and linguistic studies transcribed and searchable, so a research team spends its time on analysis instead of typing.
Amharic media transcripts
Podcasts, sermons, and community broadcasts turned into accurate, searchable Amharic transcripts an archive can be built on and referenced later.
Ethiopian market research
Consumer interviews and focus groups from Amharic-speaking markets transcribed and coded, so insight teams can quote real customers, not paraphrase them.
Amharic support call QA
Support calls and customer feedback in Amharic reviewed at scale instead of the usual small sample, with sentiment and themes surfaced automatically.
Captions & subtitles
Amharic video content captioned and subtitled from an accurate transcript, with SRT and VTT export ready for publishing.
White-label Amharic transcription
Run Amharic transcription for clients under your own brand, with exports and an API instead of a manual per-project workaround.
A different approach to Amharic transcription.
Amharic to text conversion is the process of turning Ge’ez-script spoken Amharic, whether it is audio, video, or a recorded call, into an accurate written transcript. Ethiopia’s official language and a working language for tens of millions of speakers across the Horn of Africa and its diaspora, Amharic carries research interviews, community broadcasts, customer calls, and market feedback that most transcription tools were never built to handle well.
Why free converters struggle with Amharic
Search for a free audio to text converter and most tools were tuned on English, Spanish, or a handful of high-resource languages first. Point one at Amharic and the accuracy drops, the free tier caps out at a few minutes, or the export locks behind a paywall right when the file is needed. Ge’ez script also has no direct Latin equivalent, so a tool that quietly transliterates instead of transcribing produces a file nobody on the team can actually use.
Reading the audio, not just running a model
Speak AI transcribes Amharic audio and video directly in Ge’ez script, in your language, with 100+ supported, then reads the recording itself: who is speaking, the tone and pace of the delivery, and the parts of the conversation that carry the most weight. Names, dates, and topics are extracted into structured fields a team can search and filter, instead of a single block of text to scroll through line by line.
What teams do with an Amharic transcript
- “Which interviews mention the same complaint about our service, in Amharic or English?”
- “Summarize the themes across this month’s community feedback recordings.”
- “Pull every quote where a caller mentioned pricing.”
- “Show me the sentiment trend across our Amharic support calls this quarter.”
Ask across an entire Amharic transcript history with AI chat, using ChatGPT, Claude, and Gemini built directly into the workspace, or through the MCP server for teams that already work inside Claude or Cursor, instead of exporting files and searching them one at a time.
Fra en enkelt fil til et søkbart arkiv
The result is an Amharic archive that gets more useful the more is added to it. Interviews from three years ago are as searchable as the one uploaded this morning, trends across hundreds of files become instrumentbord du kan tilpasse og white-label instead of a spreadsheet nobody updates, and one language-training program built embedded recorders into its bilingual assessment workflow and recovered roughly 120 hours of labor across 350+ submissions with this same approach (Interpreting.com flerspråklig).
And because Amharic recordings rarely live alone, the same engine scores calls and coaches teams on the same criteria, connecting a single transcript to samtalevurdering og coaching på tvers av alle samtaler et team har.
Konstruert med deg, nøyaktig fra dag én.
A generic AI tool starts from zero. We shape the languages, file types, and delivery format around how your team handles Amharic audio, then prime the application on your existing recordings so it is useful from the first file. You get a structured, searchable transcript back, not a wall of text.
- We set up the languages, file types, and delivery format around your Amharic workflow, not a template.
- Your historical Amharic recordings and transcripts prime the kunnskapsbase før go-live.
- Structured, searchable transcripts you can query through the MCP server, and score against your own criteria with samtalevurdering.
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.
Én plattform. Ikke én modell.
Et generisk AI-verktøy låser deg til en modell og en motor. Speak AI velger riktig modell, talemotor og språk for hver oppgave, filtype og team, slik at applikasjonene dine aldri er låst til en enkelt leverandør.
Multi-modell
Claude, ChatGPT og Gemini. Ditt valg per oppgave, eller ta med din egen nøkkel.
Multi-engine
Transkripsjon rutes på tvers av flere motorer for din lyd, aksenter og termer.
100+ språk
Transkribér og oversett inn og ut, for globale og flerspråklige team.
MCP, API & integrasjoner
100+ MCP-verktøy og et integrasjonslag som kobler til hundrevis av apper du allerede kjører.
Team bygger på Speak AI.
Ekte tilbakemelding fra team som bruker Speak AI for forskning, transkribering, møter og klientarbeid.
Spørsmål vi får
Ditt første oppsett 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.
Upload an Amharic audio or video file to Speak AI, select Amharic from the language list, and the transcript is generally ready in about half the length of the recording, with the same workflow covering 100+ other supported languages.
Not directly. ChatGPT is a text-based model, so audio usually has to be transcribed by a separate tool first. Speak AI transcribes the Amharic audio, then lets you chat with the transcript using ChatGPT, Claude, or Gemini in the same workspace.
Free converters exist for short clips in common languages, but most cap the file length, limit exports, or lose accuracy on Amharic audio. Speak AI’s trial includes credits for Amharic audio or video transcription to test on real files before choosing a plan.
Google offers speech-to-text tools, but coverage and accuracy for lower-resource languages like Amharic vary. Speak AI routes Amharic audio to speech engines tuned for the language and returns a structured, searchable transcript rather than a raw text dump.
Enterprise inkluderer BAA-støtte, egendefinerte databehandlingsavtaler, SSO og dataoppholdsalternativer. Vi deler sikkerhetsdokumentasjon på forespørsel og tilpasser hver build til dine krav.
From an Amharic file to a working transcript.
Book a free consult, bring a real Amharic file, and watch it transcribed and made searchable before the meeting ends. Consults include early access to new features, an extended trial, and implementation credits.
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