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Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstallSpellChecker is a Flutter app and reusable Dart library that analyzes spelling and selected writing issues on the device, using bundled language packs rather than a remote spelling or grammar API. Building around that boundary shaped the project’s architecture, language support and correction workflow—and also defines what it does not try to be: its writing checks are deterministic rules, not a general grammar model.
As project author Sanskar puts the design principle: “Your text should be able to stay on your device while the application analyzes it.”
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How do you build an offline spell checker in Flutter?
The project separates the editor from the analysis engine. Flutter supplies the interface, while the spelling, language-pack and writing-analysis layers are documented as usable without Flutter widgets. That makes the project useful in two ways: as a complete app and as a source of reusable Dart APIs for another editor.
The documented architecture includes a Flutter editor UI, SpellCheckerEngine, WritingAnalyzer, language packs, a suggestion ranker, a writing-rule registry, correction and report types, and an adapter for local preferences. The separation is practical: a host app can adopt analysis components without adopting SpellChecker’s widgets.
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Run the documented quick start
- Install Git and Flutter stable. The README specifies a Dart SDK constraint of
>=3.8.0 <4.0.0. - Fetch dependencies with
flutter pub get. - Launch the web target with
flutter run -d chrome.
The README lists Flutter SDK and shared_preferences as runtime dependencies. It documents Android, iOS, Linux, macOS, Windows and Web targets; this is the project’s stated support matrix, not a claim that each target was independently built for this article. The README also describes CI checks for formatting, flutter analyze, the Flutter test suite, benchmark smoke and release-mode target builds.
Can a Flutter spell checker work without sending text to a server?
SpellChecker’s repository describes the bundled app’s analysis as local: it does not require a remote spelling or grammar API, an account, editor-analysis telemetry, document upload, or cloud synchronization for preferences or dictionaries. That is the project’s documented privacy model, not an independent security audit or a guarantee about every third-party build based on its code.
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The boundary matters beyond the analysis engine. The README says durable preferences use shared_preferences, while editor text, findings, ignored words and correction history are not saved there as durable preferences. The app does offer explicit clipboard exports for dictionary JSON, settings JSON or a metadata-only diagnostic summary; those require the user to choose the export action.
Local analysis gives users control over whether text leaves the device for this feature and supports offline use. It also means the project relies on its bundled data and rules rather than the capabilities of a remote service. No independent performance comparison for SpellChecker is established here.
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What languages does this Flutter spell checker support?
The README lists 13 built-in offline spelling packs, reported by the SpellChecker GitHub repository in 2026:
| Language pack | Locale |
|---|---|
| English (US) | en-US |
| English (UK) | en-GB |
| Hindi | hi-IN |
| Spanish | es-ES |
| French | fr-FR |
| German | de-DE |
| Portuguese (Brazil) | pt-BR |
| Italian | it-IT |
| Bengali | bn-IN |
| Marathi | mr-IN |
| Tamil | ta-IN |
| Telugu | te-IN |
| Russian | ru-RU |
Spelling support is broader than writing-rule support. All ten built-in writing rules run for the two English packs only; other listed packs provide spelling checks and suggestions without those English-specific writing rules.
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What writing issues does it check?
The repository describes ten deterministic rules rather than open-ended grammar analysis. They flag repeated words, sentence capitalization, repeated spaces, punctuation spacing, missing spaces after selected punctuation, trailing whitespace, repeated punctuation, and unmatched parentheses, square brackets or curly braces.
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How does it handle suggestions and safe text corrections?
A spelling suggestion is only useful if applying it changes the intended text. SpellChecker’s documented correction flow checks that the source range still matches the current text before making a replacement. If the user types manually after a spelling snapshot was created, that snapshot is invalidated so its old offsets are not reused.
This is a useful safeguard for any editor that stores issue positions: text edits can shift offsets, making a previously correct range point at different characters. The project also documents a deterministic overlap policy for batch corrections and keeps undo history bounded and in memory.
Use the documented review flow
- Type or paste text into the editor and choose a language.
- Start a spelling check, then inspect underlines and ranked suggestions.
- Use F7 and Shift+F7 to navigate issues.
- Open Writing insights to review the deterministic local rules.
- Save a word to the selected language’s personal dictionary or ignore it for the session.
The bundled interface captures up to the first 200 spelling issues and the first 200 writing findings. The writing analyzer can report exact totals even though the interface’s captured findings are capped.
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1Scan for outdated or missing drivers - takes under a minute2Repair Windows errors before they cause bigger problems3Fix the driver behind crashes, sound loss and screen glitchesWhat did I learn building a privacy-first spell checker?
- Privacy is an architecture decision. Keeping bundled analysis local is more concrete than adding a privacy claim after the fact: it shapes dependencies, data handling and the app’s boundaries.
- A reusable engine needs a clean seam. Separating Dart analysis from Flutter widgets lets another app adopt the core without taking on the original interface.
- Language coverage is not one feature switch. Thirteen spelling packs do not mean thirteen equally capable writing analyzers; the documented writing rules are English-only.
- Corrections deserve the same care as detection. Rechecking current ranges and invalidating stale snapshots helps prevent a helpful suggestion from overwriting the wrong text.
- Rules should be honest about their limits. Deterministic checks can reliably flag patterns, but an unmatched delimiter does not reveal the writer’s intended edit.
There are other offline designs. For example, the separate spell_check_on_client package documents a hash-set approach that loads a dictionary text asset and derives suggestions through character additions, deletions, swaps and replacements. That is a different package and should not be mistaken for SpellChecker’s implementation.
The SpellChecker README showed version 3.2.0+25 when checked on 2026-10-05. Its feature list and target support may change over time.
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