Transkrip Audio dan Video ke Teks dengan AI

Categories: Voice & Audio, Productivity | Pricing: Pricing unavailable | Official Website ↗

Transkrip.com converts audio and video files into text quickly and affordably, with high accuracy for Indonesian and other languages.

Transkrip.com is an online application designed for transcribing audio and video files into text. It leverages AI to provide fast and accurate transcription services, particularly optimized for the Indonesian language with reported accuracy exceeding 90%. The platform supports over 25 other languages as well. The service boasts impressive speed, capable of transcribing one hour of audio/video in under one minute. Users can upload large files, up to 2 GB in size and with a maximum duration of 6 hours per file. The pricing model is pay-per-file, eliminating the need for subscriptions or credit card payments, and offers various local payment options.

Key Features

Audio to text transcription
Video to text transcription
High accuracy for Bahasa Indonesia (>90%)
Supports 25+ languages
Fast processing (1 hour audio in <1 minute)
Supports large files (up to 2 GB, 6 hours duration)
Pay-per-file pricing
Multiple local payment options (QRIS, e-wallet, bank transfer)

Pros

High accuracy for Indonesian language
Very fast transcription speed
Supports large file sizes and long durations
Affordable pay-per-file pricing
No subscription or credit card required

Cons

No free plan or trial mentioned
Accuracy for languages other than Indonesian is not specified
Specific supported audio/video formats are not listed on the homepage
Performance with poor quality audio/video is not detailed
Limited information on integrations

Use Cases

Transcribing interviews
Converting meeting recordings to text
Generating subtitles from video content
Creating text notes from voice memos
Academic research transcription

Best For

Professionals needing quick transcriptions
Students requiring lecture or interview transcriptions
Users needing accurate Indonesian language transcription
Individuals with large audio/video files to transcribe

Platforms: Web

Watch demo on YouTube ↗

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