Pricing

from $5.00 / 1,000 image generateds

Try for free

Go to Apify Store

Bulk Personalized Image & GIF Generator from Lottie Template

Try for free

Returns a personalized PNG and/or GIF for every row of your data, rendered from one Lottie template (Bodymovin JSON or .lottie): dynamic text, colors and images per row, from JSON, a CSV URL or an Apify dataset. Template-based, not AI. No browser, no MP4. $0.005 per image; failed rows are free.

Pricing

from $5.00 / 1,000 image generateds

Rating

0.0

(0)

Developer

Djam

Actor stats

Bookmarked

Total users

Monthly active users

19 days ago

Last modified

Categories

Videos

Marketing

Automation

You can access the Bulk Personalized Image & GIF Generator from Lottie Template programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

$echo '{
<  "templateJson": {
<    "v": "5.7.0",
<    "fr": 30,
<    "ip": 0,
<    "op": 60,
<    "w": 1080,
<    "h": 1080,
<    "nm": "Greeting card",
<    "meta": {
<      "a": "Lakadev",
<      "d": "CC0 1.0 Universal (public domain dedication)",
<      "g": "hand-written"
<    },
<    "fonts": {
<      "list": [
<        {
<          "fName": "Greeting-Regular",
<          "fFamily": "Greeting",
<          "fStyle": "Regular",
<          "ascent": 75
<        }
<      ]
<    },
<    "layers": [
<      {
<        "ty": 5,
<        "nm": "Title",
<        "ip": 0,
<        "op": 60,
<        "st": 0,
<        "ks": {
<          "o": {
<            "a": 0,
<            "k": 100
<          },
<          "r": {
<            "a": 0,
<            "k": 0
<          },
<          "a": {
<            "a": 0,
<            "k": [
<              0,
<              0,
<              0
<            ]
<          },
<          "s": {
<            "a": 0,
<            "k": [
<              100,
<              100,
<              100
<            ]
<          },
<          "p": {
<            "a": 1,
<            "k": [
<              {
<                "t": 0,
<                "s": [
<                  -500,
<                  430,
<                  0
<                ],
<                "i": {
<                  "x": 0.2,
<                  "y": 1
<                },
<                "o": {
<                  "x": 0.8,
<                  "y": 0
<                }
<              },
<              {
<                "t": 15,
<                "s": [
<                  540,
<                  430,
<                  0
<                ]
<              }
<            ]
<          }
<        },
<        "t": {
<          "d": {
<            "k": [
<              {
<                "t": 0,
<                "s": {
<                  "f": "Greeting-Regular",
<                  "s": 110,
<                  "t": "Hello Name",
<                  "fc": [
<                    1,
<                    1,
<                    1
<                  ],
<                  "j": 2,
<                  "tr": 0,
<                  "lh": 132,
<                  "ls": 0
<                }
<              }
<            ]
<          },
<          "p": {},
<          "m": {
<            "g": 1,
<            "a": {
<              "a": 0,
<              "k": [
<                0,
<                0
<              ]
<            }
<          },
<          "a": []
<        }
<      },
<      {
<        "ty": 5,
<        "nm": "Subtitle",
<        "ip": 0,
<        "op": 60,
<        "st": 0,
<        "ks": {
<          "o": {
<            "a": 0,
<            "k": 100
<          },
<          "r": {
<            "a": 0,
<            "k": 0
<          },
<          "a": {
<            "a": 0,
<            "k": [
<              0,
<              0,
<              0
<            ]
<          },
<          "s": {
<            "a": 0,
<            "k": [
<              100,
<              100,
<              100
<            ]
<          },
<          "p": {
<            "a": 0,
<            "k": [
<              540,
<              580,
<              0
<            ]
<          }
<        },
<        "t": {
<          "d": {
<            "k": [
<              {
<                "t": 0,
<                "s": {
<                  "f": "Greeting-Regular",
<                  "s": 56,
<                  "t": "Thanks for your order",
<                  "fc": [
<                    1,
<                    1,
<                    1
<                  ],
<                  "j": 2,
<                  "tr": 0,
<                  "lh": 67.2,
<                  "ls": 0
<                }
<              }
<            ]
<          },
<          "p": {},
<          "m": {
<            "g": 1,
<            "a": {
<              "a": 0,
<              "k": [
<                0,
<                0
<              ]
<            }
<          },
<          "a": []
<        }
<      },
<      {
<        "ty": 4,
<        "nm": "Badge",
<        "ip": 0,
<        "op": 60,
<        "st": 0,
<        "ks": {
<          "o": {
<            "a": 0,
<            "k": 100
<          },
<          "r": {
<            "a": 0,
<            "k": 0
<          },
<          "a": {
<            "a": 0,
<            "k": [
<              0,
<              0,
<              0
<            ]
<          },
<          "s": {
<            "a": 0,
<            "k": [
<              100,
<              100,
<              100
<            ]
<          },
<          "p": {
<            "a": 0,
<            "k": [
<              540,
<              820,
<              0
<            ]
<          }
<        },
<        "shapes": [
<          {
<            "ty": "gr",
<            "it": [
<              {
<                "ty": "rc",
<                "p": {
<                  "a": 0,
<                  "k": [
<                    0,
<                    0
<                  ]
<                },
<                "s": {
<                  "a": 0,
<                  "k": [
<                    640,
<                    120
<                  ]
<                },
<                "r": {
<                  "a": 0,
<                  "k": 0
<                }
<              },
<              {
<                "ty": "fl",
<                "c": {
<                  "a": 0,
<                  "k": [
<                    0.2,
<                    0.4,
<                    0.9,
<                    1
<                  ]
<                },
<                "o": {
<                  "a": 0,
<                  "k": 100
<                }
<              },
<              {
<                "ty": "tr",
<                "p": {
<                  "a": 0,
<                  "k": [
<                    0,
<                    0
<                  ]
<                },
<                "a": {
<                  "a": 0,
<                  "k": [
<                    0,
<                    0
<                  ]
<                },
<                "s": {
<                  "a": 0,
<                  "k": [
<                    100,
<                    100
<                  ]
<                },
<                "r": {
<                  "a": 0,
<                  "k": 0
<                },
<                "o": {
<                  "a": 0,
<                  "k": 100
<                }
<              }
<            ]
<          }
<        ]
<      },
<      {
<        "ty": 4,
<        "nm": "Background",
<        "ip": 0,
<        "op": 60,
<        "st": 0,
<        "ks": {
<          "o": {
<            "a": 0,
<            "k": 100
<          },
<          "r": {
<            "a": 0,
<            "k": 0
<          },
<          "a": {
<            "a": 0,
<            "k": [
<              0,
<              0,
<              0
<            ]
<          },
<          "s": {
<            "a": 0,
<            "k": [
<              100,
<              100,
<              100
<            ]
<          },
<          "p": {
<            "a": 0,
<            "k": [
<              540,
<              540,
<              0
<            ]
<          }
<        },
<        "shapes": [
<          {
<            "ty": "gr",
<            "it": [
<              {
<                "ty": "rc",
<                "p": {
<                  "a": 0,
<                  "k": [
<                    0,
<                    0
<                  ]
<                },
<                "s": {
<                  "a": 0,
<                  "k": [
<                    1080,
<                    1080
<                  ]
<                },
<                "r": {
<                  "a": 0,
<                  "k": 0
<                }
<              },
<              {
<                "ty": "fl",
<                "c": {
<                  "a": 0,
<                  "k": [
<                    0.12,
<                    0.14,
<                    0.2,
<                    1
<                  ]
<                },
<                "o": {
<                  "a": 0,
<                  "k": 100
<                }
<              },
<              {
<                "ty": "tr",
<                "p": {
<                  "a": 0,
<                  "k": [
<                    0,
<                    0
<                  ]
<                },
<                "a": {
<                  "a": 0,
<                  "k": [
<                    0,
<                    0
<                  ]
<                },
<                "s": {
<                  "a": 0,
<                  "k": [
<                    100,
<                    100
<                  ]
<                },
<                "r": {
<                  "a": 0,
<                  "k": 0
<                },
<                "o": {
<                  "a": 0,
<                  "k": 100
<                }
<              }
<            ]
<          }
<        ]
<      }
<    ]
<  },
<  "rows": [
<    {
<      "Title": "Hello Zoé",
<      "Subtitle": "Welcome to the team",
<      "Badge": "#E4572E"
<    },
<    {
<      "Title": "Hello Sam",
<      "Subtitle": "Happy birthday",
<      "Badge": "#17BEBB"
<    },
<    {
<      "Title": "Hello Bartholomew",
<      "Subtitle": "Thanks for your order",
<      "Badge": "#FFC914"
<    }
<  ]
<}' |
<apify call lakadev/lottie-template-bulk-png-gif --silent --output-dataset

Bulk Personalized PNG & GIF from a Lottie Template API through CLI

The Apify CLI is the official tool that allows you to use Bulk Personalized Image & GIF Generator from Lottie Template locally, providing convenience functions and automatic retries on errors.

Install Apify CLI

Using installation script (macOS/Linux):

$curl -fsSL https://apify.com/install-cli.sh | bash

Using installation script (Windows):

$irm https://apify.com/install-cli.ps1 | iex

Using Homebrew:

$brew install apify-cli

Using npm:

$npm install -g apify-cli

Other API clients include:

Bulk Personalized Image & GIF Generator from Lottie Template API in Python

Bulk Personalized Image & GIF Generator from Lottie Template API in JavaScript

Bulk Personalized Image & GIF Generator from Lottie Template OpenAPI definition

Bulk Personalized Image & GIF Generator from Lottie Template API

YouTube Transcript & Subtitles (SRT, VTT)

oas_built/youtube-transcripts

Get YouTube video transcripts as text, timestamped segments, SRT or VTT. One row per video, in input order; failed videos get a clear error and are not charged.

OAS Built

Website Screenshot & PDF Capture

kiwitools/website-screenshot-pdf

Capture bulk website screenshots (PNG, JPEG, WebP) or PDFs. Full page, single element, mobile and tablet presets, dark mode, cookie-banner hiding and lazy-image scrolling. Pay only for successful captures.

Kiwi Tools

Bottegaveneta Scraper — No Login, $3.5/1k

quarterly_jingo/bottegaveneta-scraper

Petey Boy

Image Upscale ×2 / ×4 — CPU super-resolution

hermeskd/image-upscale

Image URLs in, each enlarged 2x or 4x by the Real-ESRGAN super-resolution model, as PNG, JPEG or WebP. Sharper than resizing; for graphics, screenshots, text and product shots. Pay per megapixel.

Logan Parker

Image Upscaler 2x & 4x — Fast AI Super Resolution

tidydata/image-upscaler-cpu

Enlarge images 2x or 4x with neural-network super resolution (FSRCNN): crisper than plain resizing, no GPU or API key needed. PNG, JPG or WebP output with a public link. $4 per 1,000 images.

tidydata

🚀 Aldi Special Buys · 5,000 Free Products/Month

omkar-cloud/aldi-special-buys-scraper

Aldi Special Buys Scraper gets you every Aldi Special Buys product ⚡ fast, 🎯 100% accurate and 🔍 ridiculously detailed — on-sale dates, themes, prices & images from 7 countries. 💰 $1 per 1,000 products, no start fee. Scrape your first 5,000 products free every month 🚀

Omkar Cloud

France Fuel Prices Scraper – Official Open Data by Station

rowcraft/france-fuel-prices-scraper

Current fuel prices at every French station, straight from the official open-data feed (Licence Ouverte 2.0): gazole, SP95, SP98, E10, E85 and GPLc, each with its update time. Filter by department, city or radius. No personal data, no proxies.

Rowcraft

Workday Jobs - Careers, Descriptions & 招聘职位

kestrel/workday-company-jobs

Collect Workday jobs from company career URLs with keyword search. One row per job: title, company, location, requisition ID, description and apply URL. Free location/text filters and ID/hash exclusions. 招聘职位。 Public employer boards; no global company discovery.