Convert JSON to SRT

The JSON should contain subtitle objects with timestamp and text fields. Common formats include: [{"start": 0, "end": 5.2, "text": "Hello world"}] or transcription API responses with segments array containing time and text data.

Yes. The converter recognizes JSON formats from Google Cloud Speech, Azure Cognitive Services, AWS Transcribe, and other major speech-to-text APIs. It automatically extracts timing and text data from their response structures.

No. The JSON to SRT conversion happens entirely in your browser using JavaScript. Your API data and transcription files never leave your device, ensuring complete privacy for sensitive content.

The converter automatically detects timestamp formats in your JSON (milliseconds, seconds, ISO format) and converts them to the standard SRT timecode format (HH:MM:SS,mmm). Floating-point seconds are supported.

Yes, if your JSON contains speaker or channel information, the converter can format it as '[Speaker Name]: dialogue' in the SRT output, which is standard for accessibility and multi-speaker content.

Most AI transcription services support JSON export: Otter.ai, Rev, Trint, Happy Scribe, Descript, and others. The converter handles various JSON schemas from these platforms automatically.

Confidence scores from speech recognition APIs are preserved as metadata but not included in the SRT output. Low-confidence segments can be marked with brackets or filtered based on threshold values if present in the JSON.

Yes. The converter can extract subtitle data from nested JSON structures, including transcription responses with segments, alternatives, words arrays, and hierarchical speaker data from various API providers.

Yes, if your JSON contains word-level timing data, the converter can generate subtitle segments based on word boundaries, sentence breaks, or custom timing intervals for fine-grained subtitle control.

Since conversion happens in your browser, the limit depends on your device's memory. Most transcription JSON files (even for feature-length content) are under 10MB and convert instantly without performance issues.

Currently, the converter processes one JSON file at a time. For batch processing, you can convert files individually or combine multiple transcription JSON files into a single file before conversion.

Yes, the generated SRT files follow standard SubRip format and are compatible with YouTube, Vimeo, Facebook, TikTok, video editing software, and any platform that supports SRT subtitle uploads.