2026-03-03 18:16:39 +05:30
# Complete API Reference
2026-03-10 21:04:02 -07:00
Reference material for the VideoDB skill. For usage guidance and workflow selection, start with [../SKILL.md ](../SKILL.md ).
2026-03-03 18:16:39 +05:30
## Connection
```python
import videodb
conn = videodb . connect (
api_key = "your-api-key" , # or set VIDEO_DB_API_KEY env var
base_url = None , # custom API endpoint (optional)
)
```
**Returns:** `Connection` object
### Connection Methods
| Method | Returns | Description |
|--------|---------|-------------|
| `conn.get_collection(collection_id="default")` | `Collection` | Get collection (default if no ID) |
| `conn.get_collections()` | `list[Collection]` | List all collections |
| `conn.create_collection(name, description, is_public=False)` | `Collection` | Create new collection |
| `conn.update_collection(id, name, description)` | `Collection` | Update a collection |
| `conn.check_usage()` | `dict` | Get account usage stats |
| `conn.upload(source, media_type, name, ...)` | `Video\|Audio\|Image` | Upload to default collection |
| `conn.record_meeting(meeting_url, bot_name, ...)` | `Meeting` | Record a meeting |
| `conn.create_capture_session(...)` | `CaptureSession` | Create a capture session (see [capture-reference.md ](capture-reference.md )) |
| `conn.youtube_search(query, result_threshold, duration)` | `list[dict]` | Search YouTube |
| `conn.transcode(source, callback_url, mode, ...)` | `str` | Transcode video (returns job ID) |
| `conn.get_transcode_details(job_id)` | `dict` | Get transcode job status and details |
| `conn.connect_websocket(collection_id)` | `WebSocketConnection` | Connect to WebSocket (see [capture-reference.md ](capture-reference.md )) |
### Transcode
Transcode a video from a URL with custom resolution, quality, and audio settings. Processing happens server-side — no local ffmpeg required.
```python
from videodb import TranscodeMode , VideoConfig , AudioConfig
job_id = conn . transcode (
source = "https://example.com/video.mp4" ,
callback_url = "https://example.com/webhook" ,
mode = TranscodeMode . economy ,
video_config = VideoConfig ( resolution = 720 , quality = 23 ),
audio_config = AudioConfig ( mute = False ),
)
```
#### transcode Parameters
| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `source` | `str` | required | URL of the video to transcode (preferably a downloadable URL) |
| `callback_url` | `str` | required | URL to receive the callback when transcoding completes |
| `mode` | `TranscodeMode` | `TranscodeMode.economy` | Transcoding speed: `economy` or `lightning` |
| `video_config` | `VideoConfig` | `VideoConfig()` | Video encoding settings |
| `audio_config` | `AudioConfig` | `AudioConfig()` | Audio encoding settings |
Returns a job ID (`str` ). Use `conn.get_transcode_details(job_id)` to check job status.
```python
details = conn . get_transcode_details ( job_id )
```
#### VideoConfig
```python
from videodb import VideoConfig , ResizeMode
config = VideoConfig (
resolution = 720 , # Target resolution height (e.g. 480, 720, 1080)
quality = 23 , # Encoding quality (lower = better, default 23)
framerate = 30 , # Target framerate
aspect_ratio = "16:9" , # Target aspect ratio
resize_mode = ResizeMode . crop , # How to fit: crop, fit, or pad
)
```
| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `resolution` | `int\|None` | `None` | Target resolution height in pixels |
| `quality` | `int` | `23` | Encoding quality (lower = higher quality) |
| `framerate` | `int\|None` | `None` | Target framerate |
| `aspect_ratio` | `str\|None` | `None` | Target aspect ratio (e.g. `"16:9"` , `"9:16"` ) |
| `resize_mode` | `str` | `ResizeMode.crop` | Resize strategy: `crop` , `fit` , or `pad` |
#### AudioConfig
```python
from videodb import AudioConfig
config = AudioConfig ( mute = False )
```
| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `mute` | `bool` | `False` | Mute the audio track |
## Collections
```python
coll = conn . get_collection ()
```
### Collection Methods
| Method | Returns | Description |
|--------|---------|-------------|
| `coll.get_videos()` | `list[Video]` | List all videos |
| `coll.get_video(video_id)` | `Video` | Get specific video |
| `coll.get_audios()` | `list[Audio]` | List all audios |
| `coll.get_audio(audio_id)` | `Audio` | Get specific audio |
| `coll.get_images()` | `list[Image]` | List all images |
| `coll.get_image(image_id)` | `Image` | Get specific image |
| `coll.upload(url=None, file_path=None, media_type=None, name=None)` | `Video\|Audio\|Image` | Upload media |
| `coll.search(query, search_type, index_type, score_threshold, namespace, scene_index_id, ...)` | `SearchResult` | Search across collection (semantic only; keyword and scene search raise `NotImplementedError` ) |
| `coll.generate_image(prompt, aspect_ratio="1:1")` | `Image` | Generate image with AI |
| `coll.generate_video(prompt, duration=5)` | `Video` | Generate video with AI |
| `coll.generate_music(prompt, duration=5)` | `Audio` | Generate music with AI |
| `coll.generate_sound_effect(prompt, duration=2)` | `Audio` | Generate sound effect |
| `coll.generate_voice(text, voice_name="Default")` | `Audio` | Generate speech from text |
| `coll.generate_text(prompt, model_name="basic", response_type="text")` | `dict` | LLM text generation — access result via `["output"]` |
| `coll.dub_video(video_id, language_code)` | `Video` | Dub video into another language |
| `coll.record_meeting(meeting_url, bot_name, ...)` | `Meeting` | Record a live meeting |
| `coll.create_capture_session(...)` | `CaptureSession` | Create a capture session (see [capture-reference.md ](capture-reference.md )) |
| `coll.get_capture_session(...)` | `CaptureSession` | Retrieve capture session (see [capture-reference.md ](capture-reference.md )) |
| `coll.connect_rtstream(url, name, ...)` | `RTStream` | Connect to a live stream (see [rtstream-reference.md ](rtstream-reference.md )) |
| `coll.make_public()` | `None` | Make collection public |
| `coll.make_private()` | `None` | Make collection private |
| `coll.delete_video(video_id)` | `None` | Delete a video |
| `coll.delete_audio(audio_id)` | `None` | Delete an audio |
| `coll.delete_image(image_id)` | `None` | Delete an image |
| `coll.delete()` | `None` | Delete the collection |
### Upload Parameters
```python
video = coll . upload (
url = None , # Remote URL (HTTP, YouTube)
file_path = None , # Local file path
media_type = None , # "video", "audio", or "image" (auto-detected if omitted)
name = None , # Custom name for the media
description = None , # Description
callback_url = None , # Webhook URL for async notification
)
```
## Video Object
```python
video = coll . get_video ( video_id )
```
### Video Properties
| Property | Type | Description |
|----------|------|-------------|
| `video.id` | `str` | Unique video ID |
| `video.collection_id` | `str` | Parent collection ID |
| `video.name` | `str` | Video name |
| `video.description` | `str` | Video description |
| `video.length` | `float` | Duration in seconds |
| `video.stream_url` | `str` | Default stream URL |
| `video.player_url` | `str` | Player embed URL |
| `video.thumbnail_url` | `str` | Thumbnail URL |
### Video Methods
| Method | Returns | Description |
|--------|---------|-------------|
| `video.generate_stream(timeline=None)` | `str` | Generate stream URL (optional timeline of `[(start, end)]` tuples) |
| `video.play()` | `str` | Open stream in browser, returns player URL |
| `video.index_spoken_words(language_code=None, force=False)` | `None` | Index speech for search. Use `force=True` to skip if already indexed. |
| `video.index_scenes(extraction_type, prompt, extraction_config, metadata, model_name, name, scenes, callback_url)` | `str` | Index visual scenes (returns scene_index_id) |
| `video.index_visuals(prompt, batch_config, ...)` | `str` | Index visuals (returns scene_index_id) |
| `video.index_audio(prompt, model_name, ...)` | `str` | Index audio with LLM (returns scene_index_id) |
| `video.get_transcript(start=None, end=None)` | `list[dict]` | Get timestamped transcript |
| `video.get_transcript_text(start=None, end=None)` | `str` | Get full transcript text |
| `video.generate_transcript(force=None)` | `dict` | Generate transcript |
| `video.translate_transcript(language, additional_notes)` | `list[dict]` | Translate transcript |
| `video.search(query, search_type, index_type, filter, **kwargs)` | `SearchResult` | Search within video |
| `video.add_subtitle(style=SubtitleStyle())` | `str` | Add subtitles (returns stream URL) |
| `video.generate_thumbnail(time=None)` | `str\|Image` | Generate thumbnail |
| `video.get_thumbnails()` | `list[Image]` | Get all thumbnails |
| `video.extract_scenes(extraction_type, extraction_config)` | `SceneCollection` | Extract scenes |
| `video.reframe(start, end, target, mode, callback_url)` | `Video\|None` | Reframe video aspect ratio |
| `video.clip(prompt, content_type, model_name)` | `str` | Generate clip from prompt (returns stream URL) |
| `video.insert_video(video, timestamp)` | `str` | Insert video at timestamp |
| `video.download(name=None)` | `dict` | Download the video |
| `video.delete()` | `None` | Delete the video |
### Reframe
Convert a video to a different aspect ratio with optional smart object tracking. Processing is server-side.
> **Warning:** Reframe is a slow server-side operation. It can take several minutes for long videos and may time out. Always use `start`/`end` to limit the segment, or pass `callback_url` for async processing.
```python
from videodb import ReframeMode
# Always prefer short segments to avoid timeouts:
reframed = video . reframe ( start = 0 , end = 60 , target = "vertical" , mode = ReframeMode . smart )
# Async reframe for full-length videos (returns None, result via webhook):
video . reframe ( target = "vertical" , callback_url = "https://example.com/webhook" )
# Custom dimensions
reframed = video . reframe ( start = 0 , end = 60 , target = { "width" : 1080 , "height" : 1080 })
```
#### reframe Parameters
| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `start` | `float\|None` | `None` | Start time in seconds (None = beginning) |
| `end` | `float\|None` | `None` | End time in seconds (None = end of video) |
| `target` | `str\|dict` | `"vertical"` | Preset string (`"vertical"` , `"square"` , `"landscape"` ) or `{"width": int, "height": int}` |
| `mode` | `str` | `ReframeMode.smart` | `"simple"` (centre crop) or `"smart"` (object tracking) |
| `callback_url` | `str\|None` | `None` | Webhook URL for async notification |
Returns a `Video` object when no `callback_url` is provided, `None` otherwise.
## Audio Object
```python
audio = coll . get_audio ( audio_id )
```
### Audio Properties
| Property | Type | Description |
|----------|------|-------------|
| `audio.id` | `str` | Unique audio ID |
| `audio.collection_id` | `str` | Parent collection ID |
| `audio.name` | `str` | Audio name |
| `audio.length` | `float` | Duration in seconds |
### Audio Methods
| Method | Returns | Description |
|--------|---------|-------------|
| `audio.generate_url()` | `str` | Generate signed URL for playback |
| `audio.get_transcript(start=None, end=None)` | `list[dict]` | Get timestamped transcript |
| `audio.get_transcript_text(start=None, end=None)` | `str` | Get full transcript text |
| `audio.generate_transcript(force=None)` | `dict` | Generate transcript |
| `audio.delete()` | `None` | Delete the audio |
## Image Object
```python
image = coll . get_image ( image_id )
```
### Image Properties
| Property | Type | Description |
|----------|------|-------------|
| `image.id` | `str` | Unique image ID |
| `image.collection_id` | `str` | Parent collection ID |
| `image.name` | `str` | Image name |
| `image.url` | `str\|None` | Image URL (may be `None` for generated images — use `generate_url()` instead) |
### Image Methods
| Method | Returns | Description |
|--------|---------|-------------|
| `image.generate_url()` | `str` | Generate signed URL |
| `image.delete()` | `None` | Delete the image |
## Timeline & Editor
### Timeline
```python
from videodb.timeline import Timeline
timeline = Timeline ( conn )
```
| Method | Returns | Description |
|--------|---------|-------------|
| `timeline.add_inline(asset)` | `None` | Add `VideoAsset` sequentially on main track |
| `timeline.add_overlay(start, asset)` | `None` | Overlay `AudioAsset` , `ImageAsset` , or `TextAsset` at timestamp |
| `timeline.generate_stream()` | `str` | Compile and get stream URL |
### Asset Types
#### VideoAsset
```python
from videodb.asset import VideoAsset
asset = VideoAsset (
asset_id = video . id ,
start = 0 , # trim start (seconds)
end = None , # trim end (seconds, None = full)
)
```
#### AudioAsset
```python
from videodb.asset import AudioAsset
asset = AudioAsset (
asset_id = audio . id ,
start = 0 ,
end = None ,
disable_other_tracks = True , # mute original audio when True
fade_in_duration = 0 , # seconds (max 5)
fade_out_duration = 0 , # seconds (max 5)
)
```
#### ImageAsset
```python
from videodb.asset import ImageAsset
asset = ImageAsset (
asset_id = image . id ,
duration = None , # display duration (seconds)
width = 100 , # display width
height = 100 , # display height
x = 80 , # horizontal position (px from left)
y = 20 , # vertical position (px from top)
)
```
#### TextAsset
```python
from videodb.asset import TextAsset , TextStyle
asset = TextAsset (
text = "Hello World" ,
duration = 5 ,
style = TextStyle (
fontsize = 24 ,
fontcolor = "black" ,
boxcolor = "white" , # background box colour
alpha = 1.0 ,
font = "Sans" ,
text_align = "T" , # text alignment within box
),
)
```
#### CaptionAsset (Editor API)
CaptionAsset belongs to the Editor API, which has its own Timeline, Track, and Clip system:
```python
from videodb.editor import CaptionAsset , FontStyling
asset = CaptionAsset (
src = "auto" , # "auto" or base64 ASS string
font = FontStyling ( name = "Clear Sans" , size = 30 ),
primary_color = "&H00FFFFFF" ,
)
```
See [editor.md ](editor.md#caption-overlays ) for full CaptionAsset usage with the Editor API.
## Video Search Parameters
```python
results = video . search (
query = "your query" ,
search_type = SearchType . semantic , # semantic, keyword, or scene
index_type = IndexType . spoken_word , # spoken_word or scene
result_threshold = None , # max number of results
score_threshold = None , # minimum relevance score
dynamic_score_percentage = None , # percentage of dynamic score
scene_index_id = None , # target a specific scene index (pass via **kwargs)
filter = [], # metadata filters for scene search
)
```
> **Note:** `filter` is an explicit named parameter in `video.search()`. `scene_index_id` is passed through `**kwargs` to the API.
2026-03-12 14:48:21 -07:00
>
2026-03-03 18:16:39 +05:30
> **Important:** `video.search()` raises `InvalidRequestError` with message `"No results found"` when there are no matches. Always wrap search calls in try/except. For scene search, use `score_threshold=0.3` or higher to filter low-relevance noise.
For scene search, use `search_type=SearchType.semantic` with `index_type=IndexType.scene` . Pass `scene_index_id` when targeting a specific scene index. See [search.md ](search.md ) for details.
## SearchResult Object
```python
results = video . search ( "query" , search_type = SearchType . semantic )
```
| Method | Returns | Description |
|--------|---------|-------------|
| `results.get_shots()` | `list[Shot]` | Get list of matching segments |
| `results.compile()` | `str` | Compile all shots into a stream URL |
| `results.play()` | `str` | Open compiled stream in browser |
### Shot Properties
| Property | Type | Description |
|----------|------|-------------|
| `shot.video_id` | `str` | Source video ID |
| `shot.video_length` | `float` | Source video duration |
| `shot.video_title` | `str` | Source video title |
| `shot.start` | `float` | Start time (seconds) |
| `shot.end` | `float` | End time (seconds) |
| `shot.text` | `str` | Matched text content |
| `shot.search_score` | `float` | Search relevance score |
| Method | Returns | Description |
|--------|---------|-------------|
| `shot.generate_stream()` | `str` | Stream this specific shot |
| `shot.play()` | `str` | Open shot stream in browser |
## Meeting Object
```python
meeting = coll . record_meeting (
meeting_url = "https://meet.google.com/..." ,
bot_name = "Bot" ,
callback_url = None , # Webhook URL for status updates
callback_data = None , # Optional dict passed through to callbacks
time_zone = "UTC" , # Time zone for the meeting
)
```
### Meeting Properties
| Property | Type | Description |
|----------|------|-------------|
| `meeting.id` | `str` | Unique meeting ID |
| `meeting.collection_id` | `str` | Parent collection ID |
| `meeting.status` | `str` | Current status |
| `meeting.video_id` | `str` | Recorded video ID (after completion) |
| `meeting.bot_name` | `str` | Bot name |
| `meeting.meeting_title` | `str` | Meeting title |
| `meeting.meeting_url` | `str` | Meeting URL |
| `meeting.speaker_timeline` | `dict` | Speaker timeline data |
| `meeting.is_active` | `bool` | True if initializing or processing |
| `meeting.is_completed` | `bool` | True if done |
### Meeting Methods
| Method | Returns | Description |
|--------|---------|-------------|
| `meeting.refresh()` | `Meeting` | Refresh data from server |
| `meeting.wait_for_status(target_status, timeout=14400, interval=120)` | `bool` | Poll until status reached |
## RTStream & Capture
For RTStream (live ingestion, indexing, transcription), see [rtstream-reference.md ](rtstream-reference.md ).
For capture sessions (desktop recording, CaptureClient, channels), see [capture-reference.md ](capture-reference.md ).
## Enums & Constants
### SearchType
```python
from videodb import SearchType
SearchType . semantic # Natural language semantic search
SearchType . keyword # Exact keyword matching
SearchType . scene # Visual scene search (may require paid plan)
SearchType . llm # LLM-powered search
```
### SceneExtractionType
```python
from videodb import SceneExtractionType
SceneExtractionType . shot_based # Automatic shot boundary detection
SceneExtractionType . time_based # Fixed time interval extraction
SceneExtractionType . transcript # Transcript-based scene extraction
```
### SubtitleStyle
```python
from videodb import SubtitleStyle
style = SubtitleStyle (
font_name = "Arial" ,
font_size = 18 ,
primary_colour = "&H00FFFFFF" ,
bold = False ,
# ... see SubtitleStyle for all options
)
video . add_subtitle ( style = style )
```
### SubtitleAlignment & SubtitleBorderStyle
```python
from videodb import SubtitleAlignment , SubtitleBorderStyle
```
### TextStyle
```python
from videodb import TextStyle
# or: from videodb.asset import TextStyle
style = TextStyle (
fontsize = 24 ,
fontcolor = "black" ,
boxcolor = "white" ,
font = "Sans" ,
text_align = "T" ,
alpha = 1.0 ,
)
```
### Other Constants
```python
from videodb import (
IndexType , # spoken_word, scene
MediaType , # video, audio, image
Segmenter , # word, sentence, time
SegmentationType , # sentence, llm
TranscodeMode , # economy, lightning
ResizeMode , # crop, fit, pad
ReframeMode , # simple, smart
RTStreamChannelType ,
)
```
## Exceptions
```python
from videodb.exceptions import (
AuthenticationError , # Invalid or missing API key
InvalidRequestError , # Bad parameters or malformed request
RequestTimeoutError , # Request timed out
SearchError , # Search operation failure (e.g. not indexed)
VideodbError , # Base exception for all VideoDB errors
)
```
| Exception | Common Cause |
|-----------|-------------|
| `AuthenticationError` | Missing or invalid `VIDEO_DB_API_KEY` |
| `InvalidRequestError` | Invalid URL, unsupported format, bad parameters |
| `RequestTimeoutError` | Server took too long to respond |
| `SearchError` | Searching before indexing, invalid search type |
| `VideodbError` | Server errors, network issues, generic failures |