TapVid

TapVid helps businesses and content teams turn product images, footage, screenshots, webpages, documents, audio, and talking-head videos into publication-ready videos. Rather than starting from a blank timeline, TapVid takes the material a team already has — screenshots of an app, product photography, PDFs, audio narration, or presenter footage — and turns it directly into a finished video, preserving the accuracy of the source content along the way.

TapVid begins by structuring the source material. It analyzes the assets provided and organizes them into a coherent narrative, then generates scripts and storyboards that reflect that structure. Throughout this process, TapVid preserves exact logos, specifications, prices, and legal text from the original assets, so the final video does not drift from the facts, branding, or copy a team started with. This is especially valuable for product and explainer videos, where accuracy of specs, pricing, and legal disclaimers matters as much as visual polish.

Once a script and storyboard are generated, TapVid lets teams review scripts and visuals together side by side, rather than treating writing and visuals as separate stages. If a shot needs a change, a user can update individual shots without regenerating the entire video, saving time compared to tools that force a full re-render for every small edit. TapVid also lets teams compare versions and roll back to a previous version, so work can be iterated on confidently without losing earlier progress.

TapVid is built to fit into different workflows. Teams can work directly through the web interface for hands-on review and editing, or integrate TapVid into their own systems using the REST API. TapVid also offers MCP (Model Context Protocol) access, allowing AI agents and automated workflows to create videos as part of a broader pipeline. Across all three surfaces — web, REST API, and MCP — TapVid supports batch production, so teams can generate many videos at once rather than one at a time, which matters for anyone producing video at scale rather than as a one-off task.

This combination of accuracy-preserving generation, shot-level editing, and batch production supports a wide range of video needs, including:

Product videos that need to reflect exact specifications and pricing

Explainer videos that walk through how a product or feature works

Launch videos for new products or updates

Data visualizations that turn information into a watchable format

Presentations that need to be turned into shareable video content

TapVid is designed for businesses and content teams that need to produce accurate, on-brand video content at scale, especially when that content is derived from existing assets such as screenshots, product photography, documents, audio, or talking-head footage. By keeping the generation process tied closely to the original source material, TapVid aims to reduce the back-and-forth typically required to get factual details like prices, specs, and legal text right in generated video content, while still giving teams full control to review, adjust, and roll back changes at the shot level.

Because scripts, storyboards, and visuals are reviewed together rather than handled in separate disconnected tools, teams can catch issues earlier in the process instead of discovering them after a full video has already been rendered. The ability to edit a single shot without regenerating an entire video, together with version comparison and rollback, gives teams a safety net when iterating on a launch video, an explainer, or a batch of product videos that all need to stay consistent with the same source material. For teams that already have a REST API or an MCP-based automation pipeline, TapVid's API and MCP access mean video production can be triggered as part of an existing workflow rather than requiring a separate manual step, which is particularly useful for batch production of many similar videos, such as a full catalog of product videos generated from existing product images and specification sheets.

Explore more artificial intelligence tools on EarlyHunt.