10 effects for testimonial and review ads

Add a customer review card to input.mp4. Draw a white rounded rectangle 84% of the frame width (corner radius 3.4% of the width) with a soft black drop shadow, centered across, its top edge 66% down the frame. Inside, with a padding of 5% of the frame width: a row of five gold (255, 185, 0) five-pointed stars, each 5.6% of the frame width across; below them the quote “My skin has never looked this bright. Obsessed!” in bold near-black (25, 25, 30) text 4.8% of the frame width tall, wrapped to the card; below that “— Jess M.” in bold near-black and “Verified buyer” in grey (130, 130, 140), both 3.6% of the frame width tall. Nothing shows before 0.6 seconds; then the card slides in from fully off the left edge to its centered spot over 0.45 seconds with an ease-out (cubic), and stays to the end. Use Python with Pillow to draw it and ffmpeg to put it on the video (don't rely on ffmpeg's drawtext filter), keep the audio, and save it as output.mp4.

Add a verified-buyer review card to input.mp4 (540x960). The card is white, 432x132 pixels with 22-pixel rounded corners, centered across with its center 78% down the frame. On it: a purple (124, 92, 210) circle avatar 64 pixels across, 20 pixels in from the card's left edge, with a white bold "M"; the name "Maya R." in 28-pixel bold dark gray (25, 25, 35) starting 100 pixels in, 42 pixels from the card's top; and under it, 78 pixels from the top, the quote “My skin glows after one week.” in 19-pixel bold gray (80, 80, 95). The card fades in from 0.3 to 0.6 seconds. At 1.2 seconds a green (22, 163, 74) circle 30 pixels across with a white tick pops in centered 22 pixels after the end of the name, on the name's line, scaling up over 0.3 seconds with a slight overshoot; the words "Verified buyer" in 19-pixel bold of the same green fade in just right of it from 1.35 to 1.6 seconds. Everything then stays to the end. Use Python with Pillow to draw it and ffmpeg to put it on the video (don't use ffmpeg's drawtext filter), keep the audio, and save it as output.mp4.

Add a scrolling wall of customer reviews to input.mp4. Use these ten reviews, dealt alternately into a left and a right column (first to the left, second to the right, and so on), each column repeating its five reviews as often as it needs to stay full to the end: “Brighter skin in one week.” Maya R.; “My dark spots faded so fast.” Jordan K.; “Not sticky at all. I wear it every morning.” Priya S.; “Worth every penny.” Leah T.; “Even my sensitive skin loves it.” Sam O.; “I'm on my third bottle!” Chloe B.; “My friends keep asking what I changed.” Ana M.; “Glowy, never greasy.” Nia W.; “Finally a vitamin C that doesn't sting.” Erin P.; “Smells clean and sinks right in.” Dana L. Each card is a white rounded rectangle (corner radius 6% of the card width) with a soft black drop shadow; on a 540x960 video the cards are 243 pixels wide with an 18 pixel gap around and between the columns (gaps 3.3% of the frame width). Inside, with padding 8% of the card width: a row of five gold (255, 185, 0) five-pointed stars, each 8% of the card width across; the quote in curly quotes in bold near-black (25, 25, 30) text 8% of the card width tall, wrapped to the card; and “— Name” in bold grey (130, 130, 140) text 6% of the card width tall. Cards in a column are stacked with the same 18 pixel gap, and the right column sits 9% of the frame height lower than the left. Nothing shows before 0.5 seconds. From 0.5 seconds the wall rises from fully below the frame until its top is 18 pixels from the top edge, over 0.6 seconds with a cubic ease-out, while also scrolling up steadily at 12% of the frame height per second until the end, so the cards never stop moving. As the wall rises, darken the video behind it with black at 50% opacity, fading in over the same 0.6 seconds. Use Python with Pillow to draw it and ffmpeg to put it on the video (don't rely on ffmpeg's drawtext filter), keep the audio, and save it as output.mp4.

Add an animated star rating to input.mp4. At 0.5 seconds a dark rounded card pops up over 0.3 seconds with a slight overshoot: 84% of the frame width, 30% as tall as it is wide, centered across and 80% down, color (22, 22, 30) at 88% opacity, corner radius a fifth of its height. On its left, "4.9" in white bold type 56% of the card height tall; to its right, five star outlines in grey (150, 150, 160) spread evenly from 38% to 94% across the card at 40% of its height, each star 34% of the card height from point to point, with "2,148 reviews" in light grey (185, 185, 195) under them. Starting at 1.0 seconds, the stars fill solid gold (255, 185, 0) one by one, left to right, every 0.3 seconds; each starts 35% larger and settles to size over 0.2 seconds, and the fifth fills only its left 90% to match 4.9. The card then stays to the end. Use Python with Pillow to draw it and ffmpeg to put it on the video (don't rely on ffmpeg's drawtext filter), keep the audio, and save it as output.mp4.

Make input.mp4 look like a live video call. Keep the 540x960 frame and fill it with a dark (32, 33, 36) app background. Put the video in a rounded tile from 4% to 96% across and 10% to 86% down (corner radius 4.5% of the frame width), scaled to cover the tile and cropped from the middle. In the tile's bottom-left corner, inset 3% of the frame width, add a name tag: a black pill at 60% opacity, 6.8% of the frame width tall, holding a red (234, 67, 53) circle with a white crossed-out microphone and the name "Maya" in white bold text 3.4% of the frame width tall. Centered above the tile at 5% down, show a call timer in white bold text 4.2% of the frame width tall with a small green (52, 168, 83) dot to its left, reading 01:23 at the start and counting up one second per second. Centered in the band below the tile (at 93% down), draw three controls centered at 33%, 50% and 69% across: a (60, 64, 67) circle 12% of the frame width across with a white crossed-out microphone, the same circle with a white camera icon, and a red (234, 67, 53) pill 16% of the frame width wide and 12% tall with a white hang-up handset. Show it all from the first frame to the end. Use Python with Pillow to draw everything (draw any text with Pillow, not ffmpeg's drawtext) and ffmpeg to read and write the video, keep the audio, and save it as output.mp4.

Add a lower third to input.mp4: a white card with a red (230, 40, 60) strip on its left edge, showing "Jordan K." in black bold and "Verified customer" in grey under it, sliding in from off the left edge at 0.5 seconds over 0.4 seconds (fast then slowing), stopping 5% in from the left with its top 80% of the way down. Use Python with Pillow to draw it and ffmpeg to put it on the video (don't rely on ffmpeg's drawtext filter), keep the audio, and save it as output.mp4.

Add captions to input.mp4 using the word timings in words.json. Show the words three at a time in capitals, centered 70% of the way down, white bold text with a black outline, and turn the word being spoken yellow (255, 212, 0). Each group stays up from its first word's start to its last word's end. Use Python with Pillow to draw it and ffmpeg to put it on the video (don't rely on ffmpeg's drawtext filter), keep the audio, and save it as output.mp4.

Add a number counter to input.mp4: from 0.5 seconds, a black box at 69% opacity with rounded corners, 85% of the frame width wide and centered across, with its center about 70% down the frame. In it, a yellow (255, 214, 0) bold number 20% of the frame width tall counts up from 0 to 50,000 with comma separators over 2 seconds, easing out (value = 50000 * (1 - (1 - p)^3), p going 0 to 1), and gains a "+" ("50,000+") once it lands at 2.5 seconds; under it "HAPPY CUSTOMERS" in white, 6.5% of the frame width tall. Nothing shows before 0.5 seconds, and the counter stays until the end. Use Python with Pillow to draw it and ffmpeg to put it on the video (don't rely on ffmpeg's drawtext filter), keep the audio, and save it as output.mp4.