Implementation of Pictory.ai
Great! Here's a step-by-step technical implementation guide of a Pictory.ai-like tool — a platform that converts text or blog articles into short videos using AI. We'll break this down into:
- Overview
- Step-by-step implementation (with code)
- Outputs at each stage
- Tools and APIs required
What is Pictory.ai?
Pictory uses AI to:
- Extract key sentences from long-form content (blog/video transcript)
- Match visuals with those lines
- Add voiceovers or AI narration
- Generate social-ready short videos
Tools & Technologies Needed:
- Python
- spaCy or NLTK – text summarization
- Google TTS or Bark/ElevenLabs – text-to-speech
- Pexels API or Pixabay API – free stock images/videos
- MoviePy – video generation
- Transformers (optional) – for advanced summarization (BART, T5)
Step-by-Step Implementation (with Code and Output)
Step 1: Extract Key Sentences (Summarization)
We'll use transformers to extract key sentences from a blog.
from transformers import pipeline
text = """
Artificial Intelligence is transforming the way businesses operate. From automating repetitive tasks to delivering personalized customer experiences, AI is now integral to digital transformation. Tools like ChatGPT, Jasper, and Pictory enable content creators to produce smarter, faster, and more personalized outputs.
"""
summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
summary = summarizer(text, max_length=60, min_length=20, do_sample=False)
print("Summary:", summary[0]['summary_text'])
✅ Output:
Summary: AI is transforming business operations through automation and personalization. Tools like ChatGPT and Pictory enhance content creation efficiency.
Step 2: Break Summary into Scenes
Split sentences to create one video scene per sentence.
scenes = summary[0]['summary_text'].split('. ')
for i, scene in enumerate(scenes):
print(f"Scene {i+1}: {scene}")
✅ Output:
Scene 1: AI is transforming business operations through automation and personalization
Scene 2: Tools like ChatGPT and Pictory enhance content creation efficiency
Step 3: Get Matching Visuals (Stock Images or Videos)
Use Pexels or Pixabay API to fetch images based on keywords.
import requests
api_key = "YOUR_PIXABAY_API_KEY"
query = "AI technology"
url = f"https://pixabay.com/api/?key={api_key}&q={query}&image_type=photo"
response = requests.get(url)
data = response.json()
img_url = data['hits'][0]['largeImageURL']
print("Image URL:", img_url)
Output:
A link to an image you can download for video background.
Step 4: Generate Voiceover using Google TTS
from gtts import gTTS
scene_text = "AI is transforming business operations through automation and personalization"
tts = gTTS(scene_text)
tts.save("scene1.mp3")
Step 5: Create Video with MoviePy
from moviepy.editor import *
# Downloaded image from Pixabay
image_clip = ImageClip("ai_image.jpg").set_duration(5)
audio_clip = AudioFileClip("scene1.mp3")
final = image_clip.set_audio(audio_clip)
final.write_videofile("scene1_video.mp4", fps=24)
Output:
A 5-second video with the image and audio narration saved as scene1_video.mp4.
Step 6: Combine All Scenes into One Final Video
You can repeat steps 2–5 for each scene and then:
final_clip = concatenate_videoclips([scene1, scene2, scene3])
final_clip.write_videofile("final_pictory_style_video.mp4", fps=24)
Final Output
You get a Pictory-style AI-generated video, auto-narrated, with matching visuals and trimmed content — all built step-by-step in Python.
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