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AI-powered audio and video transcription in 41+ languages with speaker diarization, subtitle translation, and direct YouTube URL support. Handles under-served languages like Chinese and Tamil that English-first tools often miss.

Interactive course to learn and master React Hooks

Website, pricing, platforms and company facts side by side.
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| Website | transcribetext.com | useeffect.dev |
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| Company | Startup from the United States · 1 - 9 employees · 2025 | — |
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In their own words, as submitted to SaaSHub.


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. Core...
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As answered by people managing TranscribeText and useEffect.dev.
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 — 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 — 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 — 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 ,Journalist
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 — 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.
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