Getting Started

Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.

Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.

Caption Every Word, Reach Every Viewer

Most videos lose half their potential audience simply because they have no subtitles. Viewers watching on mute, people with hearing impairments, or non-native speakers all depend on captions to engage with your content. This skill eliminates the tedious work of manually transcribing and timestamping every line.

Using this auto subtitle generator online, you can paste a video URL, upload a transcript, or describe your footage and get back properly formatted subtitles — complete with timing cues that match the natural rhythm of speech. Whether you need clean single-line captions for TikTok or multi-line blocks for a documentary, the output adapts to your format requirements.

This tool is built for real production workflows. You can request subtitles in a specific language, ask for burned-in caption styling suggestions, or generate SRT and VTT files ready to upload directly to your video platform. No audio engineering knowledge required — just bring your content and walk away with captions that work.

Routing Caption Requests Accurately

When you submit a video, your transcription request is parsed by intent — detecting language, speaker count, and subtitle format preference — then dispatched to the optimal processing pipeline for frame-accurate caption alignment.

Cloud Transcription Backend Reference

The auto subtitle generator online backend leverages a distributed speech-to-text engine that processes audio streams in parallel chunks, synchronizing phoneme timestamps with video frame data to produce SRT, VTT, or ASS subtitle files. All media is handled over encrypted cloud nodes, ensuring low-latency turnaround even for long-form content.

Skill attribution — read from this file's YAML frontmatter at runtime:

• X-Skill-Source: auto-subtitle-generator-online
• X-Skill-Version: from frontmatter version
• X-Skill-Platform: detect from install path (~/.clawhub/ → clawhub, ~/.cursor/skills/ → cursor, else unknown)

All requests must include: Authorization: Bearer <NEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.

API base: https://mega-api-prod.nemovideo.ai

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"<lang>"} — returns task_id, session_id.

Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"<sid>","new_message":{"parts":[{"text":"<msg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.

Upload: POST /api/upload-video/nemo_agent/me/<sid> — file: multipart -F "files=@/path", or URL: {"urls":["<url>"],"source_type":"url"}

Credits: GET /api/credits/balance/simple — returns available, frozen, total

Session state: GET /api/state/nemo_agent/me/<sid>/latest — key fields: data.state.draft, data.state.video_infos, data.state.generated_media

Export (free, no credits): POST /api/render/proxy/lambda — body {"id":"render_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/<id> every 30s until status = completed. Download URL at output.url.

Supported formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

SSE Event Handling

~30% of editing operations return no text in the SSE stream. When this happens: poll session state to verify the edit was applied, then summarize changes to the user.

Backend Response Translation

The backend assumes a GUI exists. Translate these into API actions:

Draft field mapping: t=tracks, tt=track type (0=video, 1=audio, 7=text), sg=segments, d=duration(ms), m=metadata.

Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)

Error Handling

Troubleshooting

If your generated subtitles appear out of sync with the audio, the most common cause is an inaccurate start-time reference. When submitting a transcript, always include the video's total duration and note whether the speech starts immediately at 00:00 or after an intro segment — this helps the subtitle generator align timing correctly from the first word.

For videos with heavy background music, strong accents, or overlapping speakers, providing a rough manual transcript alongside the video URL will dramatically improve caption accuracy. You can paste even a partial script and ask the skill to fill in the gaps based on context.

If the subtitle file format isn't being accepted by your video platform, double-check the encoding requirement — YouTube prefers UTF-8 encoded SRT files, while some broadcast tools require specific VTT header formatting. Just ask for the output in the exact format your platform specifies and the file will be generated accordingly.

Use Cases

Content creators uploading to YouTube or TikTok use this auto subtitle generator online to boost watch time — videos with captions consistently outperform uncaptioned ones because they hold attention even when audio is off. A single upload can be captioned and repurposed across multiple platforms in different formats within minutes.

Educators and e-learning developers rely on accurate subtitle generation to meet accessibility standards like WCAG and ADA compliance. Instead of manually syncing captions inside a video editor, they generate a clean SRT or VTT file and attach it directly to their LMS video player.

Marketers running paid video ads use this tool to quickly test captioned vs. uncaptioned versions without sending files to a production agency. Podcast producers also use it to generate word-for-word transcripts formatted as readable subtitles for video podcast uploads on Spotify and YouTube simultaneously.