widecast 0.1.1

WideCast.ai Python SDK — generate videos from scripts, ideas, audio, or existing videos.

widecast (Python)

Official Python SDK for WideCast.ai — generate short-form videos from a script, an idea, a blog post, or an existing video/audio clip via a clean REST API. Python 3.8+.

pip install widecast

60-second example

from widecast import Widecast

client = Widecast(api_key="wc_live_REPLACE_ME")

# source="text" — you've already written the narration (used verbatim by the narrator).
video = client.create_video(
    source="text",
    script_text=(
        "The first 10 minutes after a car crash decide whether your insurance pays — or fights you. "
        "First: pull over, hazards on; if anyone's hurt, dial 911. "
        "Second: do NOT say 'I'm sorry' at the scene — admission of fault hurts your claim. "
        "Third: take photos of both cars, both plates, the road, skid marks. "
        "Fourth: swap name, license, plate, insurance company and policy number with the other driver. "
        "Fifth: call your insurance the same day. Save this so you don't have to think when it happens."
    ),
)

print(video.review_url)            # Show the user immediately — page handles early arrival.
done = video.wait()                # Polls /v1/status with backoff (5s → 60s cap).
print(done.status, done.video_url) # 'completed' + final MP4 URL

Source routing — pick honestly

WideCast's REST API takes one of several sources depending on what you have. If you're driving the SDK from an AI agent that cannot do real research (no web search, no URL fetch, no image search), don't write the script yourself — let WideCast research and write it for you:

# source="idea" — the server researches the topic AND writes the script.
# Use this when you (or the AI driving the SDK) can't fetch the web or
# harvest image URLs to back up a "current event" script.
video = client.create_video(
    source="idea",
    idea_text="5 things every first-time driver should do right after a car accident.",
)
done = video.wait()

Other sources:

source	When to use	Required field
"text"	You have a finished 80–500-word narration.	script_text
"idea"	You have a short brief (5–1000 words). Server researches + writes the script.	idea_text
"blog"	Repurpose an existing 30–3000-word article into a video.	blog_text
"video_url" / "audio_url"	Remake from an existing media URL.	video_url / audio_url
"video_file" / "audio_file"	Same, from a local file (multipart upload — use the SDK helper).	video_file / audio_file

The full writing method (research → harvest images → 3-Layer Hook → inline media → hand-off) is a vendor-neutral skill at https://widecast.ai/skills/video-script-writing.zip — fetch it from any LLM before drafting a source="text" script.

Setup

from widecast import Widecast

# API key from env (WIDECAST_API_KEY) or explicit
client = Widecast(
    api_key="wc_live_...",
    base_url="https://widecast.ai/app/dashboard2",   # default for v0.1.0 pilot
    timeout=60.0,
    max_retries=3,
)

Methods

client.create_video(
    source,                       # "text" | "idea" | "blog" | "video_url" | "audio_url" | ...
    script_text=None,             # required when source="text"
    idea_text=None,               # required when source="idea"
    blog_text=None,               # required when source="blog"
    video_url=None, audio_url=None,
    output_type=None,             # "text" | "scene" | "video"
    language=None, faceless=None,
    callback_url=None, metadata=None, idempotency_key=None,
) -> Video

client.get_status(video_id) -> Video       # single check
client.export_video(video_id) -> Video     # render final MP4 (scene → video)

client.create_content(content, content_type="blog", language=None) -> Video
client.enhance_script(script_text, language=None, intervention_level=None) -> Video

client.suggest_ideas(industry_id=None, num_topics=None, sub_industry=None, user_location=None)
client.collect_ideas(product_service_input, sub_industry=None, user_location=None)

client.publish(topic_id=None, text=None, video_url=None, photo_urls=None, platforms=None, title=None)
client.list_videos(from_record=0)
client.search(query, limit=10)
client.account()                  # plan + credits_remaining

# Video instance
video.id              # str — widecast<alphanumeric>
video.status          # 'pending' | 'processing' | 'completed' | 'failed'
video.review_url      # str — share with user immediately (present from first response)
video.video_url       # str | None — final MP4 (output_type='video' only)
video.progress_label  # str — UX hint like "Generating scene visuals · ~7 min left"
video.is_terminal     # bool
video.wait(timeout=600.0, poll_interval=3.0)  # blocks until terminal
video["any_field"]    # dict access for everything else

See openapi.json for the full schema.

Error handling

from widecast import (
    WidecastError, InvalidRequestError, NotFoundError,
    PreconditionFailedError, RateLimitError, APIError,
)

try:
    video = client.create_video(source="text", script_text="...")
except InvalidRequestError as e:
    if e.code == "credit_exhausted":
        # HTTP 402 — show user both options
        print(f"You're out of credits on the {e.details.get('current_plan')} plan.")
        print(f"Wait until {e.details.get('reset_at')} (monthly refresh) — or upgrade now:")
        print(e.upgrade_url)   # https://widecast.ai/#pricing_plans
    else:
        print(f"Bad input: {e} (param={e.param}, request_id={e.request_id})")
except RateLimitError:
    print("Slow down, retry after a moment.")
except APIError as e:
    print(f"Server-side issue: {e.code} — share request_id={e.request_id} in support tickets.")

Every error carries e.code, e.message, e.request_id, e.doc_url, e.status. HTTP 402 (credit_exhausted / account_expired) additionally carries e.details with upgrade_url, reset_at, current_plan, credits_remaining, next_plan, etc.

More

• Docs & live playground: https://widecast.ai/docs.html · https://widecast.ai/playground.html
• OpenAPI 3.1 spec: https://widecast.ai/openapi.json
• Issues & discussion: https://github.com/widecastai/widecast/discussions

License

Apache-2.0.