AI explainer video maker with a reviewable script

Evaluate an AI explainer video maker on the source facts it keeps and the edits you can make. Bring one approved document, review the script, then check a specific revision before choosing your workflow.

Or pick a video type to get started

“The draft looks polished. Did it keep the facts?”

  1. Source

    You select a short approved document with a deadline, a process, and an exception. These give you concrete checks for the draft instead of judging the result only by its visual finish.

  2. First script

    The generated script sounds plausible, but an exception disappears during summarization. Compare the exact claims with the source before spending generation allowance on the video.

  3. First video

    A diagram introduces a relationship the document never stated. Review visual meaning as carefully as narration; attractive motion can still explain the wrong mechanism.

  4. Revision

    You ask to change one deadline. Check the spoken line, its caption, and any matching on-screen label, then compare the rest of the video with the original.

  5. Decision

    An unrecorded correction makes two tools look equally successful. Keep the actual output and hands-on intervention record so your choice reflects the workflow you would repeat.

“A common AI-assisted explainer planning scenario, not a customer testimonial.”

Give your AI-assisted explainer a source and a review step

The old way
Before ngram
The ngram way
After ngram

Evaluate tools on unrelated showcase videos. Different sources, styles, and review effort hide whether either tool can explain your own material accurately.

Use one source and a predeclared check list. Review the generated script and playback against the same names, numbers, relationships, and exception.

Accept a corrected scene after checking only the sentence you asked to change. A caption or neighboring visual can silently retain the old fact.

Compare the requested edit across narration, captions, and visual labels. Inspect surrounding scenes and retain both versions so the preservation claim can be checked.

Count a partially generated preview as a finished evaluation. Download issues, plan restrictions, and manual repairs surface only after the tool has been selected.

Check the actual exported video and record plan limits and intervention. Use the same review bar for ngram that you apply to every other tool.

Start your AI-assisted explainer with usable material

Choose the source that contains the facts for your source-based evaluation. Upload only material you have permission to use.

1Written sources
Bring the current source
PDF · Markdown · public URL

Use a document or public page

Upload a PDF or Markdown document, provide a supported deck, or paste a public URL. Identify the exact section to explain and supply any facts that require login separately as approved material.

Docs to video
2Visual sources
Bring the real demonstration
Recording · screenshots

Use actual footage or screenshots

Bring the recording or screenshot that shows the real task. State what viewers should notice and which names or numbers must stay exact. Review any generated visuals as illustrations, not evidence that an action occurred.

Screen recording to video
ngram

An editable AI-assisted explainer draft

Review the explanation in the editor, check the finished playback, then download the MP4. Source complexity and revision scope affect how much work and usage the video needs.

script generationcaptionsmotion graphics

A slide deck can also be a source. Supported PPTX/PDF input does not mean the finished video exports as an editable presentation.

Keep your AI-assisted explainer open to revision

The next change has a clear starting point

Keep the source and the intended takeaway together for your source-based evaluation. When the source changes, request a bounded update and compare it with the previous version.

Judge the explanation, not only the finish

Check whether the viewer can follow the mechanism or decision. Read the captions and listen to the narration; visual polish does not establish source accuracy.

Use a review your subject requires

Ask the appropriate owner to review procedures, pricing, and technical details. ngram drafts and edits the video; the source owner remains responsible for what it says.

Build your AI-assisted explainer from source to review

1

Set the source and acceptance checks

Prepare

Choose one approved source and define the facts, relationships, and exceptions the video must retain. Record the audience, desired duration, and exact edit request before testing.

2

Review the script and rendered draft

Review

Compare the script with the source, then inspect the actual playback. Record narration errors, unreadable labels, and corrections you had to make; keep the output for comparison.

3

Apply the same bounded revision

Verify

Change one fact or visual instruction. Compare the revised and original versions, record usage and manual fixes, then decide whether the workflow suits repeated work.

Controls for your AI-assisted explainer at each review step

Explore all features
Built for teams

Who owns the next AI-assisted explainer update?

All solutions

Choose the explanation your audience needs

Each job starts from different material and has a different review. Use an existing workflow rather than a blank brief.

All use cases
Starting from something else?

Bring the source for your AI-assisted explainer

Choose the supported source workflow that matches your material. Check the input requirements on its page before starting.

The rest of the toolkit

Tools to support your AI-assisted explainer

All ngram tools

Choose how to produce your AI-assisted explainer based on the work

Manual productionCommissioned productionngram
Starting materialAssemble sources and write the scriptAgree the brief and supply source assetsProvide supported sources and a brief
Story controlWrite and arrange each sceneReview the agreed script and creative directionReview generated script and storyboard
Making a changeEdit the project and render againAgree revision scope with the producerUse chat, script, or scene controls; review output
Factual reviewSource owner checks final videoSource owner checks the delivered cutSource owner checks generated and edited video
Cost to evaluateDepends on tools and production effortDepends on agreed scope and revisionsPlan allowances cover generation and editing; exports do not use credits
Integrations

Wire the explainer pipeline into the launch workflow.

These are workflow options you configure. Check connector access, review the generated output, and verify the destination before relying on an automation.

Zapier
no-code

whenThe approved source for your source-based evaluation is ready

thenConfigure the trigger and video-creation action with the approved brief, then check the completion result before publishing.

Integrate with Zapier
MCP Server
agentic

whenThe approved source for your source-based evaluation is ready

thenUse a supported authenticated client to request the explainer. Creation access depends on the client and workspace; inspect the result in ngram.

Integrate with MCP Server
Chrome Extension
browser

whenThe approved source for your source-based evaluation is ready

thenStart from the public source page with the ngram extension, then review the proposed explanation before using the output.

Integrate with Chrome Extension
n8n
workflow

whenThe approved source for your source-based evaluation is ready

thenConfigure n8n to call ngram and check render completion. A self-hosted n8n workflow still uses the hosted ngram service.

Integrate with n8n
LinkedIn
Beta publish

whenThe AI-assisted explainer has passed its source and playback review

thenConnect LinkedIn through Social Publishing Beta, compose the post, and verify the scheduled or published destination.

Integrate with LinkedIn
X (Twitter)
Beta publish

whenThe AI-assisted explainer has passed its source and playback review

thenConnect X (Twitter) through Social Publishing Beta, compose the post, and verify the scheduled or published destination.

Integrate with X (Twitter)
YouTube
Beta publish

whenThe AI-assisted explainer has passed its source and playback review

thenConnect YouTube through Social Publishing Beta, compose the post, and verify the scheduled or published destination.

Integrate with YouTube
REST APIMCP serverWebhooksBuild your own integration in ~30 lines.

Will it work for my situation?

How do I evaluate an AI explainer video maker?

Give the AI explainer video maker a short source with facts you can check. Ask for the script before rendering, then compare names, numbers, and exceptions against that source. Request one bounded change and inspect what changed as well as what stayed the same.

What should I include in a fair evaluation?

Use the same source document, intended audience, and required takeaway for each tool. Define the revision before you run the test, such as changing one deadline while preserving the other facts. Record hands-on work, visible usage, and any errors; a polished screenshot alone is not a completed evaluation.

What does it cost to try and keep making explainers?

The Free plan includes 600 one-time credits, up to 60 seconds of AI video generation at the base rate, and 720p exports with a watermark. Basic starts at $29 per month; Premium is $59 and Ultimate is $299 on monthly billing. Advanced models and revisions affect usage. Exports are unlimited, but generation and editing are not unlimited.

How can I check whether the revision preserved the explanation?

Write down the requested change and the facts that must stay unchanged before editing. Compare narration, on-screen wording, and captions in the revised scene, then inspect adjacent scenes. ngram provides script and scene controls; the preservation check still requires you to review the result.

When should I use a different production approach?

Use specialist production when the job requires a bespoke animation style you cannot achieve in a reviewed sample. Keep real task footage for demonstrations that need to prove an action. Check account limits before relying on hosting or team workflows, and evaluate the export your audience will actually receive.

Bring one source for your AI-assisted explainer and one change to test

Start with the composer above. For a team evaluation, bring an approved source and a specific revision you want to assess; choose Talk to sales to discuss the workflow.