Archively.AIArchives Made Intelligent
Files & AI extraction

Every file type. Every AI layer.

A single file detail surface that adapts to images, PDFs, audio, video, Office documents, and data. Six AI extractions per file, kept in a dual AI / Reviewed pattern so curators always control what publishes.

6 file families6 AI extractionsDual-version patternPer-field status
archively.ai/files/flv-0917
File detail surface with viewer and extractions

The right viewer for the right file.

A unified detail page that knows what a TIFF is, what an MP3 is, and what an EML is — and shows the right tools, fields, and extractions for each.

Image

Width, height, DPI, color space, bit depth, EXIF — preserved on import.

PDF

Native PDF.js viewer with smart text vs scanned detection.

Audio

Styled waveform player with timestamped transcript and proofreader.

Video

Native player with VTT captions, client-side thumbnails, full-viewport proofreader.

Word / Spreadsheet

Office docs and CSV / TSV with row, column, font detection.

Email

EML / MSG with header parsing, attachment listing, body extraction.

AI says "here's a draft." Curators say "here's the truth."

Every AI extraction lives as two versions side by side — an immutable AI snapshot and an editable Reviewed version. Each field carries its own status: pending, accepted, modified, or rejected. Nothing publishes without explicit curator sign-off.

  • AI Generated — immutable, read-only, what the model produced
  • Reviewed — your working copy, with pristine / dirty tracking
  • Per-field status: pending · accepted · modified · rejected
  • Copy from AI to seed the review, then edit by hand
  • Accept All for fast triage on long extractions
AI · rawReviewedPublishedAI EXTRACTION · IMMUTABLECAPTIONKEYWORDS · 8SENTIMENTENTITIES · 14REVIEWED · EDITABLECAPTIONfield notesfield journalSTATUS PER FIELDacceptedmodifiedrejected6 changesRevertSave
Six extractions per file

The metadata an archivist actually wants.

Not just an OCR dump. Six structured extractions land on every processed file — each with its own review surface.

AI

Caption

One-sentence AI description, with an editable reviewed version.

AI

Keywords

Auto-extracted tags with add/remove on review and live count comparison.

AI

Transcript

Timestamped, speaker-diarized, per-entry confidence — accept or edit per line.

AI

Entities

People, organizations, locations, dates, events, terms — confidence + source.

AI

Locations

Geo-extracted places with type, coordinates, and confidence.

AI

Sentiment

Overall tone (positive / neutral / negative / mixed) with breakdown bar.

archively.ai/files/flv-0917#technical
Technical metadata grid for a file
Per-file-type technical metadata — extracted at upload, preserved for PREMIS

Technical metadata, automatically.

Everything PREMIS expects, lifted from the file itself on upload — no manual entry, no spreadsheet round-trip.

Image
Width · Height · DPI · Color · EXIF
Audio
Duration · Codec · Bitrate · Sample · Channels
Video
Duration · Codec · Bitrate · Frame rate · Resolution
PDF
Page count · Word count · Fonts · Language
Data
Row count · Column count · Column names
All
Checksum + algorithm for fixity

Upload a thousand files. Walk away.

Drag-and-drop a folder. Watch a queue with per-file progress, speed, and status. Pause, resume, retry, or remove individual files. Batch-clear completed and cancel-all when you need to.

  • Status tracking: Queued · Uploading · Processing · Completed · Failed · Paused
  • Per-file Pause / Resume / Retry / Remove
  • Batch operations: Clear Completed · Cancel All
  • Overall progress with active / completed / error counts
  • Target an existing item or auto-create a new one
archively.ai/upload
Drag-and-drop upload queue with per-file progress
Drag-drop a folder, watch every file through the queue

Throw a real file at it.

Upload an oral history, a manuscript, a TIFF, an EML — see the extractions land in minutes.