CompanyCam Alternatives for Roofers: AI Photo Reports and Checklists

Coding Liquids tutorial cover featuring Sagnik Bhattacharya for CompanyCam Alternatives for Roofers: AI Photo Reports and Checklists.
Coding Liquids tutorial cover featuring Sagnik Bhattacharya for CompanyCam Alternatives for Roofers: AI Photo Reports and Checklists.

For a small roofing company, CompanyCam (from $63 a month) is the only app I checked that documents AI-written photo reports. The closest alternative is Mitti, SafetyCulture's renamed inspection app: free for up to 10 seats, with AI that drafts checklists and logs issues from photos. For checklists alone, Fieldwire's free plan or GoAudits ($10 a user) will do.

Price is less of a problem than it looks. CompanyCam's Core plan has no checklists, which start on Crew at $129 a month on annual billing, and a ChatGPT or Claude project can turn any photo folder into a draft report for about $20 a month. Count the reports and checklists you produce in a month before comparing anything, because the break-even sits there.

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CompanyCam's plans, and what the AI credits cover

CompanyCam's own pages disagree on price. Its pricing page, which is what a buyer sees at sign-up, showed Core at $63, Crew at $129 and Scale at $199 a month, billed annually, when I loaded it in late October 2026. Its help-centre plans article, updated the same month for accounts opened since 17 September 2026, lists Crew at $119 and Scale at $249 on annual billing, gives monthly prices as well, and calls $199 a legacy Scale price. I use the pricing page below; confirm the figure at checkout.

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PlanPricing page, billed annuallyHelp-centre article, annual / monthlyUsers includedAI credits a monthChecklists
Core$63$63 / $791 (2-user limit)10Not included
Crew$129$119 / $1493100Included
Scale$199$249 / $2993UnlimitedIncluded

Extra users are $29 a month on the pricing page; the help article gives $29 on annual billing and $34 on monthly. Enterprise starts at 50 users with custom pricing. The pricing page lists templates as 5 on Crew and unlimited on Scale, and puts signed agreements and auto-translated team messages on Scale. The help article adds that photo tags, documents and integrations come with every plan, while 10-minute video clips, 360 photo viewing, text scanning and project groups need Crew or Scale.

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The AI itself, in CompanyCam's words, creates reports, checklists, captions and updates from photos and a spoken description. Two things are unclear. The plan table gives Core 10 credits a month while the pricing-page FAQ says AI is included in Crew, Scale and Enterprise, and no page says how many credits a report or a checklist uses, which is the number you need. Ask in the trial: generate five reports and watch the credit counter. If one report costs two credits, Core's 10 credits are five reports a month, and the help centre says credits are shared by the whole company, not given per user.

Scoring the alternatives on reports, checklists and AI

Generic top-ten lists rank apps on feature counts. For a roofer, three things matter: can it turn photos into a customer-ready report, can it run a checklist that requires photos, and does the AI do any of the typing. I scored each option from 0 to 2 on those three, using only what its own pages state. A 2 means documented for the plan you would pay for, a 1 means partly documented or only through a workaround, and a 0 means I found nothing.

OptionPhoto reportsChecklistsAIScore of 6
CompanyCam Crew2: "auto-generate job reports"2: Crew and Scale2: reports, checklists, captions and updates, 100 shared credits6
Mitti (formerly SafetyCulture), Free or Premium1: "report generation" listed, but per-plan detail is unclear; photos feed issue reports2: 5 active inspection templates free, unlimited on Premium2: AI drafts checklists and turns photos or voice notes into issues; credits on every plan5
Fieldwire Pro1: "reports and exports", photo metadata stamps2: checklists from the free Basic plan up0: no AI described on the pricing page3
GoAudits Starter1: instant report generation, photo annotation, 2 images per question2: 10 templates on Starter0: none described3
Jobber Connect0: not documented2: checklists listed from Connect0: AI voice and chat, nothing for photos2
Housecall Pro Essentials1: checklists can be attached to customer invoices as proof; photos not mentioned2: on Essentials and Max, and can be made mandatory0: AI team covers calls, data and marketing3
Roofr Essentials0: job attachments only0: not listed0: AI is for calls and estimates0
iRoofing0: a job photo archive; its "roof reports" are built or ordered, not described as photo reports0: not mentioned1: AI roof visualisations only1
AccuLynx Pro or Elite0: photo and video storage, no reports described0: not listed0: AI lead scoring, nothing for photos0
ChatGPT or Claude with a photo folder2: you build the report1: a manual checklist2: the model writes it5, but you organise the photos yourself

Read the table with its limits in mind. A 0 means a vendor's page did not describe the feature, not that it does not exist. Fieldwire's pricing page links to something it calls Field Intelligence with no detail, so its AI score may be higher than shown. Mitti, the name SafetyCulture gave its app in August 2026 (older reviews use the old name), scores well because its AI is documented on every plan, the free one included: up to 300 AI credits a seat a month on Free and from 500 on Premium. But that AI builds checklists and turns a photo or a voice note into an issue to fix; it does not write the homeowner's report, so that step still needs a person or the DIY route. The DIY row scores well on paper but replaces nothing that an app does to keep photos organised by job; treat it as a way to add AI to any photo folder, not as a rival product.

Roofr and iRoofing are in the table because they come up in searches for alternatives, but they solve a different problem: measurement, estimates and proposals. Roofr's pricing page describes no photo reports or checklists, and CompanyCam lists Roofr, AccuLynx, JobNimbus, Jobber and Housecall Pro among its integrations, so the realistic pairing for a roofer who already has one of those is the CRM plus a photo app, not one in place of the other. The tutorial on construction photo apps and which plan to buy covers the wider category, and AccuLynx vs JobNimbus for a small roofer covers the CRM side.

What each option costs at one, three and five users

Monthly list prices in USD on annual billing, except where stated, with CompanyCam at its pricing-page figures. CompanyCam's Core plan is limited to two users, so a three-person crew has to start at Crew.

OptionOne userThree usersFive users
CompanyCam Core / Crew$63 (Core, no checklists)$129 (Crew)$187 (Crew plus 2 users at $29)
CompanyCam Scale$199$199$257
Mitti Free (up to 10 seats)$0$0$0
Mitti Premium ($24 a seat; $29 monthly)$24$72$120
Fieldwire Basic$0$0$0 (5 users, 3 projects, 100 sheets)
Fieldwire Pro ($39 a user)$39$117$195
GoAudits Starter ($10 a user)$10$30$50
Jobber Connect (checklists)$99$149 (five-user tier)$149
Housecall Pro Essentials$149 (five-user tier; Basic is $59 for one user)$149$149
ChatGPT Plus or Claude Pro, one seat for the person who writes reports$17 to $20$17 to $20$17 to $20

Four notes on that table. Mitti's free plan allows five active inspection templates, so a roofer with a re-roof list, a repair list, a gutter list and a close-out list fits, with one slot to spare; Premium removes the cap. Fieldwire's Basic plan is free but capped at three projects and 100 sheets, which suits a few live jobs, not a busy season. GoAudits has no permanent free plan, only a 14-day trial, and its Starter plan allows two images per question, which is tight for a checklist step that wants three slope photos. Housecall Pro's checklists start on Essentials, which costs the same $149 for one user as for five, and Jobber's checklists start on Connect, so confirm on a trial that the plan you pick covers them.

An AI photo report from a folder, with a 40-photo example

This is the route generic listicles skip. You keep your photos in any folder or app, and a ChatGPT or Claude project turns them into a draft report. It will not replace a photo app's organisation, but it adds the AI step for the price of one seat. The jobs, drafts and timings from here on are invented to show the method, so swap in your own. Take a hail inspection of 40 photos on a 12-year-old roof, with these steps:

  1. Shoot in a fixed order: each slope from the ground, then ridge, vents, pipe boots, flashing, gutters, and any damage close-ups. Say the location aloud and type it into your notes as you go.
  2. Number the photos in the notes: "1 = north slope full view; 2 = north ridge cap; 3 = pipe boot, east; ..." OpenAI says ChatGPT does not read file names or metadata, and I would not assume other tools do, so the label has to be in the prompt.
  3. Upload in batches that respect the limits. Claude takes up to 20 files per chat, and analyses images and charts inside a PDF only when it is 100 pages or shorter, so one 40-page contact-sheet PDF can replace 40 uploads. ChatGPT accepts images up to 20 MB each, and paid plans allow up to 80 files every 3 hours (Free: 3 uploads a day). The Gemini app takes up to 10 files per prompt.
  4. Paste the prompt below, then read every line against the photos.
You are drafting a roof condition report for a homeowner from my photos
and notes. Describe only what is visible in each photo, using my labels.
Do not state a cause of damage, a hail size, the roof's age or remaining
life, or whether insurance will pay. If a photo is unclear, write "unclear".
Photo labels: [1 = north slope, full view; 2 = north ridge cap; ...]
My notes: [two lines per slope: shingle type, granule loss seen from the
ground, anything I touched]
Output: (1) a five-line plain-English summary; (2) a table with photo
number, location, what is visible, and suggested action (repair, monitor,
or consult); (3) three questions the homeowner is likely to ask.

A first draft might return a tidy table with four things to fix. It wrote "likely hail impact" on photo 4, which is a cause, so change it to "dark spot with granule loss". It called a lifted tab on photo 11 "wind damaged", so change it to "lifted tab". Its summary said "five to eight years of life left", which appears nowhere in your notes, so delete it. And it filed photo 9 under the south slope because its label had a typo, which is why you read every line against the photos before the homeowner sees any of it.

Time it. If the report takes 12 minutes of prompting and checking against 40 minutes of typing by hand, the saving is 28 minutes a report. On ten reports a month that is 280 minutes, or 4 hours 40 minutes. The method leaves out what an app gives you for free: shared timelines, tags, a customer-facing PDF layout and checklists that enforce a step. The tutorial on turning photos into a customer-ready roof report goes through the layout, and roof damage reports for insurance claims explains why AI should document what is visible and leave causation and coverage to people.

What a customer-facing roof report needs before it goes out

Whichever tool writes it, a report that a homeowner or an adjuster might rely on has five parts: the date, conditions and how you viewed the roof (from the ground, from a ladder, walked); a short summary in plain English; a findings table tied to numbered photos; a list of what you could not see, such as the underside of the decking, the attic or areas under leaves; and the next step with a reference to your quote. The fourth part protects you most. An AI draft rarely volunteers it, so make it a required heading in the prompt. Here is a slice of a findings table for the hail inspection:

PhotoLocationObservationSuggested action
4North slope, lower thirdDark spots with granule loss on about a dozen shinglesConsult: re-inspect after the next rain
11East slope, near the ridgeOne lifted tabRepair
17Pipe boot, eastCracked rubber collarReplace the boot

Notice the wording. Observations describe what the photo shows, and the action column uses verbs you can stand behind. Causes, ages and statements about warranty or coverage are left out on purpose. If a draft adds any, delete them: they are your professional opinion, and the photos do not support them.

Daily progress updates written from the day's photos

CompanyCam lists "updates" among its AI outputs, and the same idea works in a DIY set-up: a short message to the homeowner at the end of each day of a re-roof. Give the model the photo labels and a few lines of your own notes:

Write a customer update of under 90 words from these notes and photo
labels. Facts only. Do not promise a finish date, and do not mention the
weather unless I wrote it. End by saying what happens tomorrow.
Notes: north and east slopes torn off; decking checked, two sheets
replaced (photos 6 and 7); underlayment down on the north slope; rain
possible Thursday afternoon; crew back at 7:30.

A typical draft reads: "Hi [first name], today the crew finished tear-off on the north and east slopes, replaced two sections of decking (photos attached) and laid underlayment on the north slope. We are back at 7:30 tomorrow to continue. Rain is possible on Thursday afternoon, so we will confirm that morning whether to carry on or cover the roof." Check two things. Every item must be in your notes: a draft that adds "we are on schedule" has invented it. And the weather sentence must match what you actually decided.

A roofing checklist with photo points that prevents callbacks

A checklist only earns money if it stops a return visit. Write each line so it can be checked by a photo, and mark which lines need one. This is a starting point for a re-roof; adapt it to your own methods and local requirements:

Before tear-off
[ ] Walk-through with the customer done  [photo: all four elevations]
[ ] Landscaping and air-conditioning units protected [photo]
Decking
[ ] Decking checked, rotten sheets marked [photo of each marked sheet]
[ ] Customer told about any extra sheets  [photo plus change order sent]
Install
[ ] Drip edge and underlayment down       [photo per slope]
[ ] Valley and step flashing done         [photo each]
[ ] Pipe boots and vents sealed           [photo each]
[ ] Ridge and cap finished                [photo]
Close-out
[ ] Magnet sweep of lawn and drive        [photo]
[ ] Debris gone, gutters cleared          [photo]
[ ] Final walk-through, customer sign-off [photo of signed sheet]

Required-photo lines turn the checklist into evidence. In CompanyCam, checklists start on Crew and signatures on Scale; in GoAudits, you are limited to two images per question on Starter, so split a three-slope step into three questions. Fieldwire's free Basic plan includes checklists and photos, and Mitti's free plan takes this list as one of its five active templates. Mitti says its AI assistant can create checklists, so you could paste the list above and ask it to build the template, then check every line it adds: a generated list can pick up generic items such as "site is safe" that nobody can prove with a photo. The change-order template for rotten decking pairs naturally with the decking lines.

Now the sum. Assume a callback costs a crew two hours at $40 an hour plus $60 for the truck and materials, which is $140; use your own figure. Moving from Core to Crew costs $66 a month more on annual billing ($129 minus $63), so one callback prevented about every two months covers it. Moving the same checklist into Mitti's free plan costs nothing extra, which is why it is worth a trial before you upgrade CompanyCam for checklists alone.

When CompanyCam pays for itself against the cheaper routes

Take Crew on annual billing at $129 and the DIY route at about $20. The gap is $109 a month, or $1,308 a year. At $50 an hour of office or owner time, $109 is about 131 minutes. So Crew pays for itself if it saves more than about two and a quarter hours a month against doing photo reports and checklists by hand and with a general AI seat. Three jobs a week at 15 minutes saved each is about 3 hours a month, which clears the bar. If you are charged the help centre's $119 instead, the gap falls to $99 and the bar to about two hours.

Before you decide, run both on two real jobs, one repair inspection and one full replacement, and log the minutes from the last photo to a report the customer can open:

JobCompanyCam trialDIY with a Claude or ChatGPT projectEdits needed
Repair inspection, 18 photos6 minutes11 minutesTwo wrong captions in the DIY draft
Full replacement, 60 photos9 minutes25 minutes, in three batchesOne mislabelled slope

Those figures show the arithmetic, not results I obtained. If your own log shows a gap that size, the CompanyCam price is easy to justify on volume. If it shows a gap of two or three minutes, save the money and keep the folder method. Either way, read the AI output before a customer does.

Leaving CompanyCam: what to settle before you cancel

CompanyCam's annual subscription article says annual plans renew automatically on the anniversary of your first payment, can be cancelled at any time with access kept until the renewal date, and are non-refundable. You can downgrade to a lower annual plan, or switch to monthly and receive a credit for the remaining annual time against your monthly invoices. Adding a user mid-year is prorated. On photos, the pricing-page FAQ says they "stay in your account" while you are a customer and that, if you cancel, you can export your photos before your access ends. Neither page says how reports and checklists come out. So, before you move:

  1. Ask support in writing how to export photos, reports and checklists in bulk, and in what format.
  2. Download first the projects that still carry a warranty or an open claim, because the photos are your evidence.
  3. Run the new set-up in parallel for a month, not a day, so you see a full cycle of reports.
  4. Cancel before the renewal date, not after.
  5. If you only want a cheaper plan, ask whether Core covers your volume: it keeps photo reports and 10 AI credits but drops checklists.

Thirty days after the switch: three numbers to check

A move only counts as a success if the records got better, not just cheaper. Keep three numbers for the month before and the month after. First, minutes from the last photo to a report the customer can open, taken from the timing log above. Second, the share of finished jobs with every required checklist photo present: open ten closed jobs at random and count. Third, callbacks and "you never told me" disputes, where the photo record either settled the question or did not.

Here is how that might read for a three-person crew that moved checklists to a free inspection app and reports to a Claude project: report time from 9 minutes to 14, complete checklists from 6 of 10 jobs to 9 of 10, and callbacks unchanged at one. The checklist gain is real; the slower reports cost about 5 minutes on each of 12 jobs, an hour a month. That is the pattern to watch for. A cheaper set-up that quietly adds an hour of office time can cost more than the subscription it replaced, so price that hour before you cancel anything.

JobNimbus and Raken: what to ask before you count them in

AccuLynx is scored above from its plan options page: its Pro and Elite plans are quoted on request, both include photo and video storage and the mobile field app, and the only AI listed is automatic lead scoring. Two names stay unscored. JobNimbus's site would not load for me. Raken's pages list daily reports, time cards, toolbox talks and checklists, but showed no prices when I checked and describe no AI; a Basic tier at about $23 a user a month, with a three-user minimum, has been listed, so confirm it with Raken. If you already use one of them, ask its sales team these five questions in writing:

  • Does it generate a photo report automatically, and is any of the writing done by AI?
  • Can a checklist line require a photo before the job can be closed?
  • Which plan includes each of those, and what are the monthly and annual prices?
  • Are AI features metered, and what happens when the allowance runs out?
  • How do I export photos, reports and checklists in bulk if I leave?

For the wider picture of which software a small roofer needs at all, what drone and photo inspection tools really detect is a useful reality check before any purchase.

Questions roofers ask when leaving or avoiding CompanyCam

Does CompanyCam include AI on its cheapest plan?

Its pages disagree. The plan table and the help centre list 10 AI credits a month on Core, while a line in the pricing-page FAQ says AI features are included in Crew, Scale and Enterprise. The help centre says credits are shared across the whole company, not per user. Ask CompanyCam in writing what Core's credits cover before you rely on them.

Can I keep my old CompanyCam photos if I switch?

CompanyCam's pricing-page FAQ says photos stay in your account while you are a customer and that, if you cancel, you can export your photos before your access ends. It does not say how reports and checklists come out, so ask support in writing and export warranty jobs first, because photo history is also your evidence.

Can ChatGPT or Claude write a roof inspection report from photos?

They can describe what is visible and draft a layout, provided you label every photo in the prompt, because OpenAI says ChatGPT does not read file names or metadata and other tools may not either. They should not state causes of damage, hail sizes or remaining life. Treat the draft as notes, check every line against the photos, and sign it yourself.

Which alternative is cheapest for a three-person crew?

On published prices, Mitti's free plan (up to 10 seats, five active inspection templates and a monthly AI credit allowance) and Fieldwire's free Basic plan (five users, three projects) cost nothing, and GoAudits Starter is $10 a user. Only Mitti documents AI, and it drafts checklists and logs issues rather than customer reports. A ChatGPT Plus or Claude Pro seat at about $20 adds the report-writing step.

Further reads

Sources: CompanyCam pricing page, help-centre plans and annual subscription articles, AI features and roofing pages; Mitti, Fieldwire, GoAudits, Roofr, iRoofing, Jobber and Housecall Pro pricing pages; AccuLynx plan options page; Raken product page; Anthropic's upload help article; Google's Gemini Apps upload help and OpenAI's upload help, all read in October 2026. Job times and costs are illustrative.

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