Anki APKG vs text export: choose the format for the actual task

Write a requirement list with separate lines for written fields, generated question behavior, media, scheduling information, and organizational context. Mark each as required, optional, or outside the task. A source-drafting experiment might need only a question, answer, and reference. A native Anki review routine may depend on cloze templates and images. A recovery plan may need the entire collection rather than one deck. The list prevents you from choosing a format based only on convenience or familiarity.

The official exporting manual distinguishes text exports, deck packages, and collection packages. Read the option descriptions for the format you actually select. Do not treat every file ending in a familiar extension as proof of the same scope or included content. Record the intended use beside the filename. In the fictional examples, the learner keeps a native recovery copy separately from a portable text sample. That separation makes it clear that testing another app is not evidence that the native collection can now be discarded.

Consider a fictional classmate who already uses Anki and has permission to receive your personally authored revision deck. They need to inspect native note types and media-dependent prompts, so a native package is a relevant option. Check export choices for included media and scheduling rather than assuming every package is identical. Also confirm version compatibility using the current manual and the recipient’s actual client. A technically complete file still needs an appropriate audience and a small recipient test.

Before sharing, inspect source permissions, personal notes, and references that could expose private information. A package can carry more than the visible front and back. Decide whether personal study history belongs in the transfer and use the documented options accordingly. Test representative cards after the recipient opens the sample. A basic text prompt, a cloze, and an image question exercise different assumptions. The test does not guarantee every record is perfect, but it can expose a missing asset or note-type mismatch before you distribute a larger permitted set.

Now consider a learner who wants to inspect written definitions in a spreadsheet or evaluate a source-based question workspace. The destination’s supported formats determine what it can receive. A text export may expose the fields in a useful, inspectable form even though it does not reproduce native review behavior. Write a field map and test a representative record. Include source references and necessary context rather than keeping only the shortest visible answer.

The portable-content task should be explicit. Are you transferring source records, or creating independent question-and-answer rows? A note with several generated cards can complicate that choice. In the fictional example, the learner chooses one clear retrieval direction and retains the explanation as supporting content. They inspect punctuation, meaningful characters, and intended line breaks in the file before importing anywhere. A clean text table is useful only when its rows still express the intended meaning. Portability should not become an excuse to flatten every complex note into an ambiguous pair of cells.

A recovery plan must restore the scope and assets you care about, which may extend beyond the deck being transferred. The exporting and backup documentation describe the native options and their consequences. Choose the appropriate recovery method and preserve it outside the only device holding the active collection. A small portable sample used for an app experiment cannot establish that you have a usable native recovery copy. The files serve different purposes even if both contain some of the same words.

Make a recovery worksheet with the collection scope, included media, storage location, and intended restore procedure. Then identify a representative item that would expose an incomplete recovery, such as a media-based prompt or a note with several generated questions. Inspecting the worksheet is not a substitute for understanding the documented restore path. If you cannot say what will be replaced during restoration, resolve that before using the recovery file on an active collection. A file’s existence is only one part of preparedness; knowing its scope and consequences is the other.

Choose a small set of source records and write what each export is expected to carry. Inspect the text in a viewer and the native sample through an appropriate recoverable process. Check meaning, generated prompts where relevant, and assets. A larger file may include media or format overhead; it does not prove that the answer is correct or that the destination can use the file. A smaller file may be ideal for a narrow text task while being inadequate for native recovery.

In the fictional collection, one diagram note contributes only a caption to a text export. The caption is useful for a source reference but cannot replace the image-identification question. Another basic definition transfers cleanly as text. Record those different outcomes instead of assigning the entire export a single success label. A transfer can be suitable for one subset and unsuitable for another. Split the requirements if necessary, preserving the native collection for behaviors the portable workflow does not support. This is a more honest comparison than judging formats by which produces the most records.

Retain the requirement list with both sample files. If a later test asks for a different behavior, update the list before declaring one export deficient. The portable sample was never intended to reproduce every native asset. Conversely, a native package was never evidence that a separate text-only destination could read it. Keeping the purpose visible prevents an apparent format comparison from quietly changing its definition of success halfway through.

Elly’s supported import workflow uses CSV, TSV, or TXT content, not direct preservation of Anki packages. It does not carry Anki media, templates, scheduling, or review history through a text import. Keep the native collection if those behaviors are useful. Choose a permitted source-based task for the trial, such as drafting clearer explanations from a chapter or revising an ambiguous question. Inspect the actual receiving result rather than describing a successful upload as a full migration.

Use a written acceptance test: the front asks the intended question, the answer matches the source, essential context remains present, and the source reference is traceable. If a task requires an image or audio cue absent from the text transfer, keep it in the native workflow or design a genuinely separate text task. The outcome can be a division of work rather than a replacement. Finish by recording which file supports which purpose, where the original is stored, and what you would need to recover or repeat the test later.