How to sentence mine
Choose complete, useful sentences without turning every subtitle into a review.
Learn the sentence-mining workflowThe complete workflow · reviewed July 2026
From a useful video moment to an Anki card worth reviewing.
One decision-led path through source permission, captions or transcription, sentence selection, card design, media, APKG packaging, import, and the review queue that follows.
Start here for the complete process. For a source-specific path, use the YouTube-to-Anki permission and caption workflow; when text is missing, use the video-without-subtitles transcription workflow.
- 1Permitted video
- 2Selected moment
- 3Focused note
- 4Checked APKG
- 5Sustainable reviews
Build the learning system
Three guides for the decisions after you find a useful moment.
Anki template for language learning
Separate sentence, focus, meaning, audio, image, and source into reusable fields.
Use the starter Anki templateAnki card design
Choose a focused listening, reading, or production front instead of revealing every clue.
Compare card designsStart-to-finish map
Nine steps, each with a stop rule.
The point is not to automate every line. It is to keep bad inputs and weak cards from reaching tomorrow’s review queue.
01Source
Choose a video you are allowed to process
Start with a video you own, recorded, licensed, downloaded with permission, or are otherwise allowed to use. Keep its title and timestamps so every card remains traceable.
Gate: Stop if you cannot establish permission or recover the source later.
02Text path
Decide whether subtitles are usable
Treat captions as a draft: join broken lines, separate speakers, and compare the text with the audio. With no reliable subtitles, transcribe only the moments you selected and verify uncertain words.
Gate: Do not turn an unverified transcript into a repeated memory.
03Watching
Separate immersion from card production
Watch first and mark lightly. In a second pass, revisit only promising timestamps. This preserves the reason you watched while containing the cleanup work.
Gate: A timestamp is a candidate, not yet a card.
04Selection
Keep moments with one useful learning target
Prefer a complete, natural sentence with one word, phrase, grammar pattern, or listening distinction you care about and expect to meet again.
Gate: Skip lines that need too much setup, contain too many unknowns, or matter only because they appeared.
05Capacity
Set a card budget before generating
Use the review time you can sustain, not the number of subtitle lines, to cap the batch. A small selected deck is easier to inspect and easier to keep reviewing.
Gate: If the batch would crowd out existing reviews, reduce it now.
06Card job
Decide what the front asks you to retrieve
Choose listening recognition, reading recognition, or selective production. Store sentence, focus expression, meaning, translation, media, and source in separate fields so templates remain editable.
Gate: If you cannot finish ‘this card asks me to…’, the prompt is not focused enough.
07Media
Add only the audio and image context that earns its place
Trim audio around the complete utterance. Use a frame when the scene clarifies meaning, but move or omit media that reveals the answer before the attempt.
Gate: Each media field should improve the test, the feedback, or source recovery.
08Production
Build notes, review the draft, then package the deck
Manual and AI-assisted workflows can both produce structured notes and media. Automation is most useful for repetitive drafting and packaging; you still accept, edit, or reject each result.
Gate: Check transcript, meaning, prompt, clip boundaries, image, and source before export.
09Delivery
Inspect, import, and sample the APKG
Check the package structure and bundled media, import it into Anki, preview a sample, and introduce only the number of new cards your queue can absorb.
Gate: A successful import proves the file opened—not that every card is accurate or worth studying.
Choose the text path
Subtitles change the cleanup, not the quality bar.
Usable subtitles
Merge lines into complete utterances, separate speakers, restore punctuation when needed, and verify the text against the audio.
No reliable subtitles
Mark moments first, transcribe only those clips, check uncertain words with context, and skip any sentence you cannot verify.
Choose the retrieval job
The front determines what you practise.
| Card job | Front | Back / feedback |
|---|---|---|
| Listening | Short audio clip | Sentence, meaning, optional scene |
| Reading | Sentence with target hidden or marked | Target, meaning, audio |
| Production | Meaning or situation | Target expression in its sentence |
Keep raw sentence, target, meaning, translation, audio, image, source title, and timestamp in separate fields—even if one template does not display all of them.
Manual, assisted, or hybrid
Automate repetition. Keep the decisions.
A manual workflow offers direct control. Assistance can draft repetitive pieces. The reliable version of either workflow keeps human approval between candidate generation and deck import.
VidToAnki today: the product is in private beta and works from permitted MP4 input toward an import-ready APKG. It does not remove your responsibility to verify sources, text, meaning, or card value.
Manual
You choose, clip, transcribe, structure, attach media, and package each note.
AI-assisted
A tool drafts candidates, text, fields, media boundaries, or package contents for review.
Human gate
You reject weak moments, correct context, test the card, and control the final batch.
Video-to-Anki FAQ
The boundaries that keep the workflow useful.
Can I make Anki cards from any video?
No. Use video you own, recorded, licensed, downloaded with permission, or are otherwise allowed to process. VidToAnki does not decide whether a source is permitted for you.
Do I need subtitles to turn a video into Anki cards?
No, but subtitles make the first text draft easier. Without reliable subtitles, transcribe only selected moments and verify the wording against the audio instead of guessing.
Should every subtitle become an Anki card?
No. Keep only complete moments with one useful learning target and a review cost you can sustain. Subtitle boundaries are not card-selection rules.
What does AI do in a video-to-Anki workflow?
AI can help draft transcripts, translations, candidate moments, fields, and package contents. Human review still decides source permission, learning value, contextual accuracy, and whether each card belongs in the deck.
Can I paste a YouTube URL directly into VidToAnki?
Not in the current private beta. VidToAnki accepts a permitted MP4 input and works toward an import-ready APKG; it does not download a YouTube URL or decide whether you may process the source.
Which fields should a video-based Anki note contain?
A useful starting structure separates the exact sentence, focus expression, contextual meaning, translation, audio, optional image, source title, and timestamp. The card template should display only the fields needed for one retrieval job.
Should one video sentence generate multiple Anki cards?
Only when each card serves a distinct learning goal, such as listening and reading recognition. Do not multiply every note automatically; extra templates create extra scheduled reviews.