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TranscribeText is an AI-powered transcription service that converts audio and video into accurate text across 41+ languages. Unlike English-first tools, it performs reliably on under-served languages including Chinese (Mandarin), Tamil, Vietnamese, Thai, Japanese, Korean, and Arabic.
Most AI transcription tools are optimized for English and degrade sharply on other languages. TranscribeText is built for a multilingual world โ whether subtitling a Mandarin interview, transcribing a Tamil podcast, or translating captions for a Japanese video, output stays accurate and usable.
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TranscribeText's answer:
We offer comprehensive, high-quality services at highly competitive prices.
TranscribeText's answer:
TranscribeText focuses on an area most transcription tools neglect โ accurate multilingual support, especially for Asian and South-East Asian languages.
What sets it apart:
Most tools in this category optimize for English meetings and treat other languages as a checkbox. TranscribeText treats multilingual transcription as the primary use case.
TranscribeText's answer:
TranscribeText serves users who work with audio and video content across multiple languages, not just English.
Primary audience:
Geography: strong adoption in Asia and regions where local languages (Chinese, Japanese, Korean, Tamil, Vietnamese, Thai) need accurate transcription โ a gap most English-first tools leave open.
TranscribeText's answer:
TranscribeText started with a practical problem: transcribing and subtitling audio and video in languages that most AI tools handled poorly.
Existing transcription services were clearly built English-first. Results in Chinese, Tamil, Vietnamese, Thai, and other non-English languages ranged from rough to unusable, and tools that did support multiple languages often buried the feature behind enterprise pricing.
We built TranscribeText to close that gap โ fast, accurate transcription across 41+ languages, with speaker diarization and subtitle translation as core features rather than premium add-ons. The goal was to make multilingual audio and video workflows as frictionless as working with English content already is.
The product has grown steadily since launch, driven mostly by users who were underserved by the dominant English-first tools: creators, researchers, and teams working across regions and languages.
TranscribeText's answer:
YouTuber ๏ผJournalist
TranscribeText's answer:
TranscribeText is built on a pragmatic, self-hosted stack chosen for speed, cost-efficiency, and scalability:
Backend: Python with Flask for the web layer, PostgreSQL as the primary database, and Redis with RQ for asynchronous job processing. This lets long transcription jobs run in the background while keeping the API responsive.
AI / Transcription: State-of-the-art automatic speech recognition models for multilingual transcription, combined with custom pipelines for speaker diarization and subtitle generation. Translation across 41+ languages is handled through LLM-based batch translation.
Storage & Delivery: Cloudflare R2 for audio, video, and transcript storage โ chosen for its zero egress fees and global distribution.
Media Handling: yt-dlp for YouTube and other video-platform URL ingestion, with queue separation and deduplication to handle concurrent requests efficiently.
Payments: Creem.io for billing and subscription management.
Infrastructure: Deployed across multiple VPS instances with geographic distribution for low-latency access across regions.
Coming from a video editing background, Descript might take some getting used to. But once you figure it out, it speeds up your editing (especially interviews/long-form voiceover). The captions are very nice to work with, but a bit limited in terms of styles. There are a lot more caption styles, transitions, and effects in CapCut, but Descript excels in simplicity and speed.
The saved layouts (you can make your own) are very good if you want to create a bunch of videos on different topics with the same design scheme or branding.
Based on our record, Descript seems to be more popular. It has been mentiond 12 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
For transcripts, I use Descript. Descript is able to identify all four of our panel members, and I usually spend an hour or so cleaning it up and setting the transcript into a video for YouTube. Source: about 3 years ago
I don't understand exactly what you are trying to do, but I'm pretty sure Descript can do what you want. Source: over 3 years ago
I tried to use descript.com but found out that they didn't have a download for Linux and that their online version doesn't allow you to edit your transcript. Source: over 3 years ago
Edit your audio with software like Descript or Audacity. Source: about 4 years ago
Looks like an 'audiogram' from descript.com - you can make them on their paid service. Source: about 4 years ago
Otter.ai - Your AI meeting assistant that takes live notes and generates summaries and other insights using Meeting GenAI.
TurboScribe - Convert audio and video to accurate text in seconds with AI
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Sonix.ai - Automatically convert audio & video to text in minutes
Trint - Transcribe spoken words from your video & audio files
1bit.ai Transcribe - Easily transcribe audio and video files to text using advanced AI. Get high accuracy, speaker identification, and export in SRT, VTT, TXT, PDF, DOCX, and CSV (with or without timestamps). Try it for free!
