PixelDock

32 tools · Local processing · No API fees

Ai ToolsRead. Review. Prepare your next draft.

Extract useful details, compare documents and prepare text with clear, local methods.

Local models, learning & document helpers

Choose a local model, trainable classifier or statistical helper. Inputs stay on your device; model files download only when you run a model tool.

32 tools shown

01Vision & OCR · Local model

Image to text (OCR)

Recognize English and Persian text in an image, entirely on your device.

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02Vision & OCR · Local model

Scanned PDF to text

Render and recognize up to five PDF pages with local OCR.

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03Semantic models · Local model

Semantic sentence search

Search English source sentences by embedding similarity to your question.

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04Semantic models · Local model

Semantic text similarity

Compare two short English texts using a real local embedding model.

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05Semantic models · Local model

Model-based extractive summary

Select central sentences from an English text using model embeddings.

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06Semantic models · Local model

Topic label matching

Rank your English topic labels against a short English passage.

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07Semantic models · Local model

Semantic sentence grouping

Group English sentences with model embeddings and spherical k-means.

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08Train with examples · Trainable ML

Train your text classifier

Teach a local Naive Bayes classifier using your own labeled examples.

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09Read & understand · Statistics

Extractive text summarizer

Pick the most connected sentences from your text, with an adjustable length and original source order.

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10Extract & find · Statistics

Text keyword extractor

Find distinctive words in your document, with occurrence counts and local processing.

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11Compare & review · Rule-based

Compare two texts

Compare word similarity and shared vocabulary, then inspect the words that overlap.

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12Extract & find · Statistics

Find related sentences

Enter a question or phrase to retrieve sentences with shared words and source sentence numbers.

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13Extract & find · Rule-based

Keyphrase extractor

Find recurring adjacent two- and three-word phrases.

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14Read & understand · Rule-based

Reading & text report

Measure sentence lengths, vocabulary and estimated reading time.

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15Compare & review · Statistics

Repeated sentence finder

Spot exact and word-similar sentence pairs at your chosen threshold.

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16Compare & review · Rule-based

Sentence difference checker

See sentences added and removed between document versions.

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17Compare & review · Rule-based

Keyword coverage checker

Check which supplied words or phrases appear in your draft.

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18Extract & find · Rule-based

Action item extractor

Find source sentences that contain task or follow-up wording.

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19Extract & find · Rule-based

Question extractor

Collect question-like source sentences with sentence numbers.

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20Contact & privacy · Rule-based

Contact pattern extractor

Find email addresses, URLs, IPv4 and phone-like number candidates.

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21Contact & privacy · Rule-based

Contact pattern masker

Replace recognized contact patterns with numbered placeholders.

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22Prepare content · Rule-based

Text chunker for prompts

Split text into bounded character chunks without dropping content.

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23Prepare content · Rule-based

Headline template builder

Fill title templates using an extracted phrase from your source.

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24Read & understand · Rule-based

Extractive outline builder

Create keyword labels and original excerpts for source sections.

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25Extract & find · Rule-based

Number & date pattern extractor

Collect number, date, amount and percentage candidates from a source.

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26Extract & find · Rule-based

Abbreviation context finder

Find uppercase Latin abbreviation candidates and their source context.

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27Compare & review · Rule-based

Keyword in context

Inspect literal phrase occurrences with nearby source text.

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28Prepare content · Rule-based

Source cloze flashcards

Make fill-in-the-blank study cards by hiding original source words.

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29Prepare content · Rule-based

Source FAQ organizer

Pair source questions with immediately following source sentences.

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30Prepare content · Rule-based

Transcript text cleaner

Remove leading timestamp and optional speaker patterns from text.

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31Prepare content · Rule-based

Subtitle format converter

Convert plain SRT and WebVTT subtitle cues without changing their text.

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32Prepare content · Rule-based

Structured prompt templates

Wrap your source in a clear fixed prompt for another model.

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What can these tools do?

Use local models for OCR and English sentence embeddings, or choose statistical and document helpers. General text tools support up to 16,000 characters and 160 sentences; model tools have smaller, clearly stated limits.

What are the limits?

No translation, generative rewriting or fact checking. Model similarity is approximate. Pattern masking is not guaranteed anonymization. Review every result before relying on it.