PROJECT

Text to video software for automated content production

Custom software development, AI video generation, Prompt and script intake, Video editing, Voiceovers and captions, Rendering and export, Social publishing

  • Industry: Video production
  • Portugal Location: Portugal
  • Delivery time: 16 weeks
  • Technologies: JavaScript / TypeScript (Node.js), Python
4+ months

This client spends time turning scripts, images and uploaded footage into publishable videos. The software is a custom text to video workspace for the production team: it takes prompts, scripts and media, then returns edited videos with narration and captions. It brings generation, editing and distribution into one place to reduce manual production work and rework.

Summary

Problem

The client's production work spans generation, editing, captions, rendering and publishing, which costs time when handled across separate steps.

Solution

The solution became one video production workspace for media intake, AI generation and editing. It also brings voiceovers, captions and publishing together.

Result

The software is made to reduce manual work and rework in the path from source material to publishable video.

Client story

The client is a video production company from Portugal. It turns scripts, images, audio, product information and uploaded footage into videos for digital channels.

The production team spends time preparing source material, generating scenes and arranging clips. It also adds narration and captions before exporting versions for social media.

The request was simple: accept different content inputs, connect AI services for generation and speech, and support the complete path from creation to export.

The solution was shaped as a modular studio with an intake screen and a generated video workspace. Voiceover and caption controls were added alongside rendering, export and publishing areas.

The client asked for

  1. Generate videos from prompts, scripts, images, audio, data, or footage
  2. Connect AI for text, images, video, voices, and speech
  3. Create voiceovers, captions, transcripts, subtitles, and overlays
  4. Edit scenes, replace clips, render, and export videos

Why ready-made software did not fit

Ready-made AI video generators cover text-to-video, editing, storage and distribution, but their descriptions do not match the client's complete production workflow. Credit limits and paid-plan restrictions in one alternative also made a custom approach useful for defining the client's own access, quota, payment, storage and publishing rules.

Project overview

The first screen accepts a prompt or script together with images, video, audio and raw footage.

To handle generation and editing in one place, a video workspace was provided with a preview, scene list and timeline. It supports generated clips, image animation and clip replacement.

Special attention was paid to narration and accessibility. Voice settings, caption text, subtitle files and background music are managed in one control area.

The final area connects rendering with delivery. The software creates output versions in selected formats and resolutions, provides download and sharing links, and supports publishing workflows.

The system is modular, so API access, subscriptions and credits can be added later. Quotas, payments, storage and additional publishing connections can also be added without rebuilding the whole product.

Key features delivered

  • Generate videos from prompts and scripts
  • Animate images into video clips
  • Import video, audio, footage and product data
  • Arrange scenes on a visual timeline
  • Replace clips and create video variations
  • Generate voiceovers and adjust voice settings
  • Create, edit and burn in captions
  • Render multiple formats and resolutions
  • Download, share and publish videos

Can be added

+ Subscriptions and payments + Usage credits and quotas + API access + Scheduled publishing + Semantic search + Additional social-channel integrations

Who else can use this solution

These businesses have a similar content-production task, and the same solution can be adapted to their workflows.

A creative agency

Task It turns campaign scripts, images and footage into promotional videos for digital channels.
How the solution helps The solution connects generation, editing, captions, rendering and publishing in one production flow.

A media team

Task It repurposes uploaded or long-form media into short videos for social channels.
How the solution helps The workspace supports source uploads, scene arrangement, clip replacement, captions, rendering and export.

A social-media operator

Task It creates and prepares recurring videos for YouTube, TikTok and other social channels.
How the solution helps The solution combines AI generation, voiceovers, captions, output versions and publishing controls.

Technology stack

JavaScript / TypeScript (Node.js)

Application and media services

This language family supports the web application, integrations and media-processing services.

Python

AI and video workflows

Python supports AI requests, transcription, subtitle handling and video-processing workflows.

openai

Text and AI requests

openai (the official client library for OpenAI) sends script, text and other AI requests.

moviepy

Video editing and compositing

moviepy (a Python video-editing library) combines video, audio and visual elements.

ffmpeg-python

Media processing and rendering

ffmpeg-python (Python bindings for FFmpeg) processes video, audio, filtering and rendering tasks.

pysrt

Subtitle file editing

pysrt (a library for SubRip subtitle files) edits and creates SRT caption files.

SRT

Captions and subtitles

SRT carries caption text and timing for subtitle output and burned-in captions.

JSON and CSV

Structured content input

JSON and CSV carry structured product or content information into the video workflow.

Integrations

YouTube Data API

The publishing workflow sends rendered videos and related publishing data to YouTube.

YouTube

The YouTube connection supports video retrieval, transcripts and publishing workflows.

Instagram

The platform can exchange media and account-related information with Instagram when that integration is included.

TikTok

The platform can support TikTok content workflows through a TikTok API connection.

OpenAI

OpenAI receives text or script requests and returns AI-generated content for the production workflow.

FFmpeg

FFmpeg processes video and audio for rendering, format conversion and caption burn-in.

The result

Source material enters one production flow

The intake screen gives the production team one place for prompts, scripts and media. It accepts images, videos, audio and raw footage before generation.

This keeps the starting material together for text-to-video and image-to-video work, including content that begins as an uploaded source.

How it works

  1. The prompt or script editor holds text prompts or scripts for video generation.
  2. The upload areas receive images, videos, audio, raw footage and product information.
  3. The generation modules create videos from scripts, animate images or import existing videos.
  • Text prompts and scripts
  • Images, audio and uploaded footage
  • Product information or structured content
Prompt and asset intake

Prompt and asset intake

Functions on this screen
Generate videos from scripts Animate images to video Create or Import Videos

Scenes and clips stay editable

The generated video workspace brings preview, scenes and timeline editing together. Generated images, clips and scripts remain visible alongside duration and scene order.

Editors can replace a clip or upload another one before rendering. The same workspace supports video variations from a source clip.

How it works

  1. The video preview shows generated video content and its current render status.
  2. The scene list and timeline hold generated clips, duration and scene order.
  3. The clip controls replace or add uploaded footage within the video sequence.
  • Generated images and video clips
  • Scene order and duration
  • Replacement clips and variations
Tip: One source clip can support multiple video variations for different content outputs.
Generated video workspace

Generated video workspace

Functions on this screen
Generate AI images and videos Automated Video Creation Generate Video Variations

Narration and captions are prepared together

The voiceover and caption screen handles narration, subtitles and accessibility in one place. Voice selection and pitch, pace and volume settings sit alongside caption timing and audio tracks.

SRT files can be edited or created, and captions can be burned into the final video when the output requires visible text.

How it works

  1. The voice controls apply voice selection, pitch, pace and volume settings to the voiceover.
  2. The caption editor and SRT controls hold caption text, timing and subtitle output.
  3. The mixer combines voiceover, background music and other audio tracks, while burn-in captions add visible text.
  • Voiceover settings
  • Caption text and timing
  • SRT subtitle output
Note: SRT is used for captions and subtitles in the video workflow.
Voiceover and caption controls

Voiceover and caption controls

Functions on this screen
Add voiceovers and subtitles Customize voiceover settings Create Captions Edit dynamic captions Mix background music Support subtitles

Rendered versions move to delivery

The final screen connects rendering, export and publishing. The production team gets rendered video information, download and share links, and output versions for social media.

Usage information, publishing status, video history and logs keep delivery details with the rendered result.

How it works

  1. The render queue holds rendered videos and their processing status.
  2. The format and resolution controls produce social-media export versions and direct download links.
  3. The publishing controls send a rendered video into a publishing workflow and record its status and history.
  • Format and resolution selection
  • Download and share links
  • Publishing status and video history
Render, export and publish

Render, export and publish

Functions on this screen
Video Rendering Automation Export videos for social media Upload videos to YouTube Publish Content Automatically

What the solution gives

With this solution, the production company can:

  • Create videos from prompts, scripts, images, audio, footage and structured content
  • Keep scenes, clips and timeline editing in one workspace
  • Prepare voiceovers, captions, subtitles and background music
  • Render versions for different formats and resolutions
  • Download, share and publish finished videos
  • Extend the platform with APIs, quotas, subscriptions and new integrations

Could ready-made systems do the job?

Before the design, the task was compared with ready-made products by their own descriptions.

What the client needs AI video generators Simplified, AI Studios, Steve AI Video content platforms Goldcast, Vizard, Waymark AI video creation tools Hippo Video, Colossyan Creator Custom solution
Generate from varied source material partly partly
Connect text, image, video, voice AI
Create captions and voiceovers
Edit scenes, render, and export
Fits the client's own rules: stages, roles, reports — — —
All steps in one place — —
No manual steps between programs partly partly partly

By the public descriptions of the products and their category.

Ready-made AI video products cover important parts of the task, including generation, editing, narration, captions and distribution. A ready-made product is enough when only one of these parts is needed.

For this client, the complete production path and its own access, credit, storage and publishing rules mattered. The parts were not described as one tailored workspace with all the required steps automated together.

In the end

In the end, the solution was made to take manual work and rework out of the path from source material to a publishable video.

FAQ

Thinking about building a similar system? Read the answers below to see how inputs, AI services, editing, captions and publishing fit into one product.