dScribe AI
Overview
dScribe AI helps developers turn social media videos into actionable insights by extracting transcriptions, generating video summaries, and enabling direct question-answering from video content.
Features
- Video Transcription: Extract text from video content across multiple languages
- Content Analysis: Analyze and generate insights from videos with simple prompts
- Multiplatform Support: Process content from YouTube, TikTok, X, Instagram, Facebook, Spotify, Apple Podcasts, and more
- Multilingual Support: Process content in 16+ languages
- Real-time Processing: Get insights on the fly without waiting for indexing
- Structured Output: Receive structured insights in markdown format, ready for AI applications
Installation
pip install dscribeai
Quick Start
from dscribeai import DScribeClient
# Initialize client with your API key
client = DScribeClient(api_key="your_api_key_here")
post_url = "https://www.youtube.com/watch?v=UF8uR6Z6KLc"
# Process a social media video
results = client.transcribe(url=post_url)
# Access transcription
transcript = results.transcript
print(f"Transcript: {transcript}")
# Ask specific questions about video content
answer = client.analyze(
url=post_url,
prompt="What are the main themes of this video?"
)
print(f"Answer: {answer.query_result.answer}")
Use Cases
- Social Listening: Monitor brand mentions and sentiment across social platforms
- Content Analysis: Extract key topics and opinions from video content
- Engagement Tracking: Measure audience interaction with content
- AI Agents: Power your AI assistants with video understanding capabilities
Documentation
For comprehensive documentation, visit our official documentation.
Authentication
You'll need an API key to use dScribe AI. Sign up at dscribeai.com to get your API key.
Support
- Email: jordan@dscribeai.com
- Discord: Join our community
Release files for dscribeai 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dscribeai-0.0.3.tar.gz | 5.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dscribeai-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.7 kB
Release files / dscribeai-0.0.3.tar.gz
| Download URL | dscribeai-0.0.3.tar.gz |
|---|---|
| Size | 5.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
faf6aa1c2011e7e6d04166cb4d82064aa491068b0305cfb9bc794a6b2e1fe597
|
|
BLAKE2b-256 checksum How to use checksums |
fc58e17489e96f899fa15aec94ca22f1615766fe3c3cc842406a5e7b738f7bc9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Apr 5, 2025.
Transparency logRelease files / dscribeai-0.0.3-py3-none-any.whl
| Download URL | dscribeai-0.0.3-py3-none-any.whl |
|---|---|
| Size | 6.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e5180646c3ee61249c59202a980e91c295d44639de31c8fb934c5f9c2303b79d
|
|
BLAKE2b-256 checksum How to use checksums |
37edfcbbaf0a6dcde5ed7a3790335cc5f7dd419a19fe7e8e9af4d11a74e68897
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Apr 5, 2025.
Transparency log