TranscriptHQ

Introduction to TranscriptHQ

TranscriptHQ is an API and no-code tool for extracting word-accurate transcripts and translations from online videos and audio files when native captions are unavailable or unreliable. It is designed for developers, content teams, and organizations that need scalable transcription and subtitle generation from major platforms or direct uploads.

The service pulls audio directly from source links, applies noise reduction and voice activity detection, auto-detects language, and produces transcripts with optional word-level timestamps. Outputs can be exported in common subtitle and text formats for downstream editing, publishing, or indexing workflows.

TranscriptHQ supports batch processing for individual videos as well as entire channels and playlists, and offers translation to over 100 languages. A no-code playground enables users to generate and view captions inline without writing code.

Key Takeaways

• Single API for transcription and translation across supported platforms (YouTube, Twitter/X, TikTok, Twitch, Vimeo, Dailymotion, Bilibili) and direct file uploads
• Audio preprocessing with noise reduction, normalization, and voice activity detection (VAD)
• Optional word-level timestamps and word-by-word synchronization
• Language auto-detection and translation to 100+ languages
• Batch extraction for channels, playlists, or individual videos
• Export to text (plain or with timestamps), SRT, VTT, and JSON
• REST API with job-based processing and a no-code playground with inline captions
• Credit-based billing (1 credit = 1 minute; word-level timestamps use 1.5x credits)

How TranscriptHQ Works

TranscriptHQ ingests content from platform URLs or uploaded audio/video files. The system fetches the audio directly, removes background noise, normalizes volume, and uses voice activity detection to identify speech segments. Language is auto-detected to guide transcription and optional translation steps.

Transcription is performed using AI models (with Whisper-based transcription available). Users can enable precise word-level timestamps for alignment. The service can translate transcripts into a selected target language and synchronize text for subtitle workflows.

Results are returned via API or available in the playground for viewing. Exports include SRT, VTT, JSON, and text formats. Jobs continue processing if the user navigates away, and completed tasks can be accessed later. Accuracy is stated as approximately 95% and varies by language. Rate limits and concurrency depend on the selected plan.

Core Benefits and Applications

TranscriptHQ streamlines cross-platform transcription where captions are missing or difficult to extract. It enables consistent, structured outputs that integrate into content production, localization, and archival pipelines.

Common applications include:

• Generating captions and subtitles for videos published on supported platforms
• Localizing content by translating transcripts into 100+ languages
• Batch extracting transcripts from channels and playlists for editorial or knowledge-base workflows
• Preparing subtitle files (SRT/VTT) for editing, QA, and distribution
• Integrating speech-to-text into applications via a REST API without maintaining scrapers or audio pipelines

Pricing overview (monthly billing shown):

Notes:

• 1 credit = 1 minute of audio/video. Enabling word-level timestamps uses 1.5x credits.
• An annual billing option with a stated 20% savings is available.

Supported platforms and formats:

• Platforms: YouTube, Twitter/X, TikTok, Twitch, Vimeo, Dailymotion, Bilibili
• File uploads: common audio (e.g., MP3, WAV) and video (e.g., MP4, MKV, MOV, AVI)
• Exports: text (plain or timestamped), SRT, VTT, JSON