filehugger.comDocument Assistant & Local Summary
Summarise extracted document text and answer questions from ranked passages, with an optional server-side AI second opinion.
Analyse your own file
Choose a PDF and text-based documents file
Drop it here or browse this device
Your original file is analysed in this browser and is not uploaded. An optional AI second-opinion button appears only after the local report; if you choose it, extracted text—not the original file—is sent to our server.
What happens to the file
- Default processing
- Browser-only JavaScript, PDF.js, pdf-lib and Tesseract where the task needs them
- Accepted input
- PDF and text-based documents
- Report contract
- File Intelligence JSON schema 1.0 plus a flattened CSV view
- Optional AI
- Explicit second opinion; extracted text only; original file is not uploaded
Synthetic policy: files are retained for 30 days, incident notices are due within 48 hours, and support is available Monday–Friday. Questions outside those facts return “not found.”
How the result is calculated
The default browser engine ranks sentences by term frequency and answers questions by cosine similarity against extracted passages. It returns the supporting passages and says “not found” below the evidence threshold. Optional AI receives extracted text only after explicit action.
Local answer confidence = top passage cosine similarity × 160, capped at 92. Summary confidence reflects extractable sentence coverage. Confidence never means factual probability.
Supported and unsupported cases
| Input or situation | What version 1.0.0 checks | What it does not claim |
|---|---|---|
| Selectable PDF/text | Extractive summary, passage retrieval and evidence snippets | Understanding images or charts |
| Question answering | Answers grounded in high-overlap passages | Reliable inference beyond the document |
| Local mode | No upload and reproducible ranking | Fluent abstractive synthesis |
| Optional AI mode | Richer synthesis via server-side Responses API | Offline use or zero-data-retention guarantee beyond configured provider terms |
What the confidence score means
Confidence describes how much of the file the published parser could inspect and how specific the evidence was. It is deliberately separate from the result score. A 95/100 confidence value does not mean “95% likely to be true,” and a high health/readiness score does not certify safety, compliance or factual correctness.
Comparison with other approaches
| Approach | Useful strength | Important limitation |
|---|---|---|
| Local document assistant | No upload, deterministic passages and honest abstention | Extractive rather than conversational |
| Optional AI second opinion | More fluent synthesis | Server processing and model variability |
| Browser find | Exact phrase location | Requires knowing the wording |
| Manual reading | Highest contextual control | Slow on long documents |
4/4 fixtures passed (100%)
Dataset: FH-INT-SYNTH-2026-07. Scope: Summary coverage, supported answer, abstention threshold and evidence ranking fixtures. Fixtures contain generated data only; no visitor file or personal record is collected.
When this result can be wrong
Extraction can lose columns, retrieval can choose a related but incomplete passage, and a concise summary can omit exceptions. AI can still hallucinate. Treat citations as navigation aids and verify the exact source text.
Keep the original file, test the output in the receiving application and escalate high-stakes legal, financial, medical, accessibility or security decisions to a qualified reviewer.
Version and accuracy change log
| Release | Date | Calculation/coverage change | Re-test requirement |
|---|---|---|---|
| 1.0.0 | 2026-07-29 | Initial public engine, report schema, thresholds, synthetic fixtures and sample files. | All published fixtures and one browser sample per tool. |
Downloadable evidence, not a black-box verdict
After analysis, use Download JSON report for structured evidence or Download CSV report for review in a spreadsheet. Both include engine version, timestamp, score, confidence, metrics, findings, recommendations and limitations. Sensitive-data reports mask candidate values and no report includes the complete extracted document text.
Related tools and independent checks
Method or accuracy correction? Read the testing methodology and contact info@brothers.net.tr. Material scoring changes are published in the change log.